Search

We summarize the use of NMR spectroscopy in the production and the screening of stability and foldedness of protein domains, and apply it to the RING domains of E3 ubiquitin-ligases. RING domains are involved in specific interactions with E2 ubiquitin-conjugating enzymes and thus play an essential role in the ubiquitination pathway. Protein production of the Zn2+ containing and cysteine rich RING domains for molecular studies frequently turns out to be problematic. We compared the expression and solubility of 14 E3 RING/U-box domains fused to the N-terminal tags of His6, His6-GB1, His6-Trx and His6-GST at small scale and analyzed, by NMR spectroscopy, their correct folding after purification. The addition of GST, Trx or GB1 to the N-terminal His6 tag significantly improved both the expression and solubility of target proteins as compared to His6 tag alone. More importantly most of the immobilized metal affinity chromatography (IMAC) purified proteins were largely unfolded as judged by analysis of the 1H–15N HSQC spectra. We demonstrate that imidazole causes a concentration dependent decrease in stability of RING proteins ascribed to metal depletion and resulting in unfolding or precipitation. In contrast, using glutathione affinity chromatography, the His6-GST fused RING and U-box domains were purified as correctly folded proteins with high yields. Our data clearly demonstrate that IMAC should be avoided and that GST-fusion affinity chromatography is generally applicable for expression and purification of Zn2+ containing proteins.

The design of an ideal scoring function for protein-protein docking that would also predict the binding affinity of a complex is one of the challenges in structural proteomics. Such a scoring function would open the route to in silico, large-scale annotation and prediction of complete interactomes. Here we present a protein-protein binding affinity benchmark consisting of binding constants (Kd’s) for 81 complexes. This benchmark was used to assess the performance of nine commonly used scoring algorithms along with a free-energy prediction algorithm in their ability to predicting binding affinities. Our results reveal a poor correlation between binding affinity and scores for all algorithms tested. However, the diversity and validity of the benchmark is highlighted when binding affinity data are categorized according to the methodology by which they were determined. By further classifying the complexes into low, medium and high affinity groups, significant correlations emerge, some of which are retained after dividing the data into more classes, showing the robustness of these correlations. Despite this, accurate prediction of binding affinity remains outside our reach due to the large associated standard deviations of the average score within each group. All the above-mentioned observations indicate that improvements of existing scoring functions or design of new consensus tools will be required for accurate prediction of the binding affinity of a given protein-protein complex. The benchmark developed in this work will serve as an indispensable source to reach this goal.

Computational docking is the prediction or modeling of the three-dimensional structure of a biomolecular complex, starting from the structures of the individual molecules in their free, unbound form. HADDOC K is a popular docking program that takes a datadriven approach to docking, with support for a wide range of experimental data. Here we present the HADDOC K web server protocol, facilitating the modeling of biomolecular complexes for a wide community. The main web interface is user-friendly, requiring only the structures of the individual components and a list of interacting residues as input. Additional web interfaces allow the more advanced user to exploit the full range of experimental data supported by HADDOC K and to customize the docking process. The HADDOC K server has access to the resources of a dedicated cluster and of the e-NMR GRID infrastructure. Therefore, a typical docking run takes only a few minutes to prepare and a few hours to complete.

Over the last years, large scale proteomics studies have generated a wealth of information of biomolecular complexes. Adding the structural dimension to the resulting interactomes represents a major challenge that classical structural experimental methods alone will have difficulties to confront. To meet this challenge, complementary modeling techniques such as docking are thus needed. Among the current docking methods, HADDOCK (High Ambiguity-Driven DOCKing) distinguishes itself from others by the use of experimental and/or bioinformatics data to drive the modeling process and has shown a strong performance in the critical assessment of prediction of interactions (CAPRI), a blind experiment for the prediction of interactions. Although most docking programs are limited to binary complexes, HADDOCK can deal with multiple molecules (up to six), a capability that will be required to build large macromolecular assemblies. We present here a novel web interface of HADDOCK that allows the user to dock up to six biomolecules simultaneously. This interface allows the inclusion of a large variety of both experimental and/or bioinformatics data and supports several types of cyclic and dihedral symmetries in the docking of multibody assemblies. The server was tested on a benchmark of six cases, containing five symmetric homo-oligomeric protein complexes and one symmetric protein-DNA complex. Our results reveal that, in the presence of either bioinformatics and/or experimental data, HADDOCK shows an excellent performance: in all cases, HADDOCK was able to generate good to high quality solutions and ranked them at the top, demonstrating its ability to model symmetric multicomponent assemblies. Docking methods can thus play an important role in adding the structural dimension to interactomes. However, although the current docking methodologies were successful for a vast range of cases, considering the variety and complexity of macromolecular assemblies, inclusion of some kind of experimental information (e.g. from mass spectrometry, nuclear magnetic resonance, cryoelectron microscopy, etc.) will remain highly desirable to obtain reliable results.

Ataxin-3, the disease protein in the neurodegenerative disorder Spinocerebellar Ataxia Type 3 or Machado Joseph disease, is a cysteine protease implicated in the ubiquitin proteasome pathway. It contains multiple ubiquitin binding sites through which it anchors polyubiquitin chains of different linkages that are then cleaved by the N-terminal catalytic (Josephin) domain. The properties of the ubiquitin interacting motifs (UIMs) in the C-terminus of ataxin-3 are well established. Very little is known, however, about how two recently identified ubiquitin-binding sites in the Josephin domain contribute to ubiquitin chain binding and cleavage. In the current study, we sought to define the specific contribution of the Josephin domain to the catalytic properties of ataxin-3 and assess how the topology and affinity of these binding sites modulate ataxin-3 activity. Using NMR we modeled the structure of diUb/Josephin complexes and showed that linkage preferences are imposed by the topology of the two binding sites. Enzymatic studies further helped us to determine a precise hierarchy between the sites. We establish that the structure of Josephin dictates specificity for K48-linked chains. Site 1, which is close to the active site, is indispensable for cleavage. Our studies open the way to understand better the cellular function of ataxin-3 and its link to pathology.

For a long time, it has been thought that a specific and well-defined three-dimensional (3D) structure was a prerequisite for a protein to function. However, more recently, the existence of several proteins that lack a 3D structure and that are still functional has been well documented. Such proteins are called intrinsically disordered proteins. The disorder in them can affect the full or part of the protein and their plasticity allows them to interact with numerous biomolecules by adapting the shape of the unfolded part to the different partners. In this way, they can participate in diverse cellular processes such as regulation, maintenance of the shape of the cell (cytoskeleton), protein degradation and DNA condensation. This disorder can be native, but can also be induced by an external stimulus, like the interaction with other biomolecules, environmental changes and light. Structural characterization of such intrinsically disordered systems at atomic scale is very difficult, but crucial for a better understanding of their functional mechanism and also for the possible design of new drugs. However, the lack of structure, the lack of methods to inspect their states, and the lack of tools to analyze those, remains a considerable challenge. Though NMR is used in structural biology generally as a tool for structure determination, it can also help as a spectroscopic tool to define the foldedness and disorder of biomolecules and to characterize their dynamics. In this thesis, I show that NMR can be combined to computational modelling to characterize those intrinsically disordered systems. In such dynamic systems the NMR parameters are measured as time and ensemble averages, not unlike the situation in normal structure determination of proteins with internal mobility. Computational methods to deal with ensemble averaging to treat internal or side chain mobility have been developed for native proteins and small peptides previously. Nevertheless, for the highly flexible elements as present in intrinsically disordered proteins, these computational approaches are inadequate. The interpretation of the averaged data of grossly different geometries is more delicate and the large ensemble introduces a new modelling challenge. In the first part of my thesis, I introduce new computational methods that can better describe the partially unfolded state of proteins from NMR data than was possible till now. In the second part of this thesis, I focus on glycans, which represent another example of highly flexible systems, and their interaction with proteins. Along this thesis, I highlight the inadequacy of conformational energy, which is commonly used in molecular modelling to define the most likely states of biological systems, when applying this to highly flexible systems and when experimental information is lacking. For this case, it is suggested to disregard potential energy in the analysis, and to base the selection of the most representative ensemble from a large collection of structures on the direct comparison versus experimental data or by adopting a statistical approach. Both methods might contribute to overcome the challenging concept of “free energy” that is frequently met in molecular modelling.

Membranes border cells from their environment. Thus, they belong to the basic prerequisites for life as we know it. Within cells, membranes are used to establish compartments dedicated to specific tasks such as providing local proximity of components, assembling specialized molecular machinery and confining their numerous functions to salutary consistency. Biological membranes are functionalized by associated proteins which account for a large fraction of all proteins encoded by the genome. Not surprisingly, many of the available drugs act via their interaction with these membrane proteins. Despite their large biological and pharmaceutical importance only very few membrane proteins are understood on the molecular level. Often structure and function of these proteins depend on their lipidic environment. Then, traditional techniques like x-ray diffraction or solution-state NMR are not well suited due to the large molecular size and the inhomogeneous character of membrane-protein systems. Solid-state NMR (ssNMR) spectroscopy on the other hand is a prime technique to investigate structure and dynamics of membrane proteins at atomic resolution even in the presence of a lipid bilayer. This thesis reports on progress made in ssNMR methodology, sample preparation, and data analysis enabling the study of two distinct proteins involved in selective membrane transport. First, ssNMR spectroscopy was used to establish structure-function relations of the chimeric potassium (K+) channel KcsA-Kv1.3 which serves as model system for regulated ion transport across membranes essential for cellular excitability. The results provide detailed insight into structure and dynamics of K+ channel activation and inactivation gating and reveal modulating effects of ligands, ions, and the lipidic environment on the functionally relevant conformations of the K+ channel. Second, functional hydrogels formed by FG-repeat domains of the yeast nucleoporin Nsp1p were characterized by ssNMR. These polypeptides constitute an essential part of the nuclear pore complex controlling all molecular trafficking between nucleus and cytoplasm in eukaryotic cells. The acquired data provide structural details of FG-hydrogels as well as their gelation kinetics and link amyloid-like protein-protein interactions to the selectivity barrier of the nuclear pore complex.

A comparative analysis of nuclear chemical shift predictions of proteins in the solid state by rapid algorithms trained on and verified with solution-state NMR assignments is presented. The precision of predictions by four dedicated computer programs (SHIFTS, PROSHIFTS, SHIFTX and SPARTA) was found to be close to values obtained for proteins in solution. Correlation coefficients depend on the NMR nucleus (N, C′, Cα and Cβ) and on secondary structure (β-strand, random coil and α-helix), but also on the molecular environment (membrane-integral or not). The findings establish a quantitative basis for using chemical shift prediction programs for solid-state NMR applications. On the other hand, prediction inaccuracies identified for certain resonance kind, residue type, and molecular environment point to possible areas of methodological improvement.

Proteins are the wheels and mill stones of the complex machinery that underlies human life. In carrying out their functions, proteins work in close association with other proteins, forming protein complexes. A huge network of protein-protein interactions enables the cell to respond quickly to changes in the environment and to communicate with other cells. When the balance of this network is disrupted, diseases such as cancer may result, and for this reason, pharmaceutical drugs are very often targeted at proteins. To fully understand how proteins work together, knowledge at the atomic level is required. X-ray crystallography and NMR are the classical methods for this, solving the three-dimensional structure of many individual proteins as well as protein complexes. However, the number of complexes in the cell is at least one order of magnitude larger than the number of proteins. Moreover, associations between proteins and other macromolecules are often transient and reversible, especially the biologically interesting signal transduction complexes. For many complexes, the 3D structures of the individual proteins in their free, unbound form are known, but the structure of the protein complex itself remains elusive. This thesis deals with two fields of study that aim to shed light on protein complexes by computational means: data-driven docking and interface prediction. Docking, in general, is predicting the structure of a complex starting from the free, unbound structures. Data-driven docking, in particular, uses experimental information during the docking process. Chemical shift perturbation (CSP), hydrogen-deuterium (H/D) exchange and site-directed mutagenesis can identify the interface region; residual dipolar couplings and relaxation anisotropy can provide information about the relative orientation of the proteins. All of this information can be used in HADDOCK, the data-driven docking method developed in our group, and an improved version of HADDOCK is presented in chapter 6 of this thesis. HADDOCK is not limited to complexes between two proteins, but can deal with up to six molecules of proteins, nucleic acids, sugars or small ligands. HADDOCK finished second in the recent cycle of the CAPRI international docking competition. Finally, a web server interface for HADDOCK is presented in chapter 7, facilitating data-driven docking for a larger community. It is shown that even in the absence of experimental data, data-driven docking can be successful when the interface region between the proteins is predicted by computational means. Chapter 4 describes WHISCY, a general-purpose interface prediction program and web server. In chapter 5, pairwise propensities and their use in interface prediction are evaluated. Finally, in chapter 8, CPORT is introduced: a consensus method that combines six interface predictors and that is specifically designed for data-driven docking. In this chapter, prediction-driven docking is successfully applied to a large and diverse benchmark of protein complexes, including signal transduction complexes. While correct solutions could not be obtained for all complexes, the success rate is comparable with state-of-the-art ab initio docking methods, and it is argued that further improvement is still possible.

In nature, some proteins partially unfold under specific environmental conditions. These unfolded states typically consist of a large ensemble of conformations; their proper description is therefore a challenging problem. NMR spectroscopy is particularly well suited for this task: information on conformational preferences can be derived, for example, from chemical shifts or residual dipolar couplings. This information, which is measured as a time- and ensemble-average, can be used to model these states by generating large ensembles of conformations. The challenge is then to select a minimum representative set of conformations out of a large ensemble to represent the unfolded state. We have developed for this purpose an algorithm called MINOES (MINimum Optimal Ensemble Selection), which is based on an iterative procedure based on a driven expansion/contraction selection process. MINOES aims at selecting an optimal and minimal ensemble of conformations that, on average, maximizes the agreement between back-calculated and experimental (NMR) data, without any a-priori assumption about the required ensemble size. This approach is demonstrated by modeling the partially unfolded state of a deletion mutant of the Photoactive Yellow Protein, Delta 25-PYP, which has been previously characterized by NMR (Bernard et al., Structure 2005;13:953-962).

Human P-glycoprotein is an ATP-binding cassette transporter that plays an important role in the defence against potentially harmful molecules from the environment. It is involved in conferring resistance against cancer therapeutics and plays an important role for the pharmacokinetics of drugs. The lack of a high resolution structure of P-glycoprotein has hindered its functional understanding and represents an obstacle for structure based drug development. The homologous bacterial exporter Sav1866 has been shown to share a common architecture and overlapping substrate specificity with P-glycoprotein. The structure of Sav1866 suggests that helices in the transmembrane domains diverge at the extracytoplasmic face, whereas cross-link information and a combination of small angle X-ray scattering and cryo-electron crystallography data indicate that helices 6 and 12 of P-glycoprotein are closer in P-glycoprotein than in the crystal structure of Sav1866. Using homology modelling, we present evidence that the protein possesses intrinsic structural flexibility to allow cross-links to occur between helices 6 and 12 of P-glycoprotein, thereby reconciling crystallographic models with available experimental data from cross-linking.

14 páginas, 5 figuras, 2 tablas -- PAGS nros. 4973-4986, Kid, the toxin of the parD (kis, kid) maintenance system of plasmid R1, is an endoribonuclease that preferentially cleaves RNA at the 5′ of A in the core sequence 5′-UA(A/C)-3′. A model of the Kid toxin interacting with the uncleavable mimetic 5′-AdUACA-3′ is available. To evaluate this model, a significant collection of mutants in some of the key residues proposed to be involved in RNA binding (T46, A55, T69 and R85) or RNA cleavage (R73, D75 and H17) were analysed by mass spectrometry in RNA binding and cleavage assays. A pair of substrates, 5′-AUACA-3′, and its uncleavable mimetic 5′-AdUACA-3′, used to establish the model and structure of the Kid–RNA complex, were used in both the RNA cleavage and binding assays. A second RNA substrate, 5′-UUACU-3′ efficiently cleaved by Kid both in vivo and in vitro, was also used in the cleavage assays. Compared with the wild-type protein, mutations in the residues of the catalytic site abolished RNA cleavage without substantially altering RNA binding. Mutations in residues proposed to be involved in RNA binding show reduced binding efficiency and a corresponding decrease in RNA cleavage efficiency. The cleavage profiles of the different mutants were similar with the two substrates used, but RNA cleavage required much lower protein concentrations when the 5′-UUACU-3′ substrate was used. Protein synthesis and growth assays are consistent with there being a correlation between the RNase activity of Kid and its inhibitory potential. These results give important support to the available models of Kid RNase and the Kid–RNA complex, JRDO was supported by Project BFU2005-03911 from the Spanish Ministry of Education and Science (MEC, Spain), BFU 2008-01566/BMC and CSD2008-00013 from the Ministry of Science and Innovation (MICIIN, Spain) and by a networking project of the CM (COMBACT, Comunidad de Madrid, Spain). EDN acknowledges the contribution of a predoctoral fellowship (BFI05.35) from the Basque Country Government, Spain and of a short term EMBO fellowship (ASTF No: 159-06) to visit and work at the Biomolecular Mass Spectrometry and Proteomics group at Utrecht University, the Netherlands. The technical assistance of Alicia Rodriguez-Bernabé and discussions with Marc Lemonnier, Ana María Hernandez-Arriaga and Juan López-Villarejo, are kindly acknowledged. RB, AJRH, and MBK acknowledge support from the Netherlands Organization for Chemical Research (NWO/CW) and the Center for Biomedical Genetics. RHH vdH was supported by a VENI fellowship (700.54.402) from The Netherlands Organization for Scientific Research (NWO). This work in Utrecht was also supported by the Netherlands Proteomics Centre

Binding of the nuclear factor-Y complex (NF-Y) to the inverted CCAAT-box interferes with transcription activation through nucleosome reorganization. The three homologous proteins forming the zinc-fingers and homeoboxes (ZHX) family interact with the activation domain of NF-Ya to repress transcription. Each ZHX-protein contains two generic C2H2 zinc-fingers (ZNF1 and ZNF2) followed by five homeodomains. Although the proteins have been related to the occurrence of certain cancers, the function and structure of the individual ZHX domains are still unknown. Here, we determined the structure of the tandem zinc-finger region of human ZHX1. Folding and secondary structure predictions combined with expression screening revealed that the C-terminal extension (E) to ZNF2 could form a single domain with the two hZHX1 zinc-fingers. We therefore decided to determine the solution structure of the zinc-fingers followed by this extension. We show that both zinc-fingers adopt canonical betabetaalpha-folds in which a zinc ion is coordinated by two cysteine and two histidine residues. The C-terminal extension to ZNF2 forms two beta-strands to make a beta-sheet with the beta-strands of this zinc-finger. The ZNF1 and ZNF2-E domains do not show evident contacts and their mutual orientation seems variable. The high degree of sequence conservation among ZHX family members permitted us to prepare homology models for ZHX2 and ZHX3, revealing distinct surface characteristics for each family member. Implications of these structural features for ZHX-functioning in transcription regulation are discussed.

There is a growing interest in structural studies of DNA by both experimental and computational approaches. Often, 3D-structural models of DNA are required, for instance, to serve as templates for homology modeling, as starting structures for macro-molecular docking or as scaffold for NMR structure calculations. The conformational adaptability of DNA when binding to a protein is often an important factor and at the same time a limitation in such studies. As a response to the demand for 3D-structural models reflecting the intrinsic plasticity of DNA we present the 3D-DART server (3DNA-Driven DNA Analysis and Rebuilding Tool). The server provides an easy interface to a powerful collection of tools for the generation of DNA-structural models in custom conformations. The computational engine beyond the server makes use of the 3DNA software suite together with a collection of home-written python scripts. The server is freely available at http://haddock. chem.uu.nl/dna without any login requirement.

NMR spectroscopy is currently the only technique for determining the solution structure of biological macromolecules. This typically requires both the assignment of resonances and a labor-intensive analysis of multidimensional nuclear Overhauser effect spectroscopy (NOESY) spectra, in which peaks are matched to assigned resonances. Software tools that fully automate the NOESY assignment and the structure calculation steps have the potential to boost the efficiency, reproducibility and reliability of NMR structures.

Potassium (K(+))-channel gating is choreographed by a complex interplay between external stimuli, K(+) concentration and lipidic environment. We combined solid-state NMR and electrophysiological experiments on a chimeric KcsA-Kv1.3 channel to delineate K(+), pH and blocker effects on channel structure and function in a membrane setting. Our data show that pH-induced activation is correlated with protonation of glutamate residues at or near the activation gate. Moreover, K(+) and channel blockers distinctly affect the open probability of both the inactivation gate comprising the selectivity filter of the channel and the activation gate. The results indicate that the two gates are coupled and that effects of the permeant K(+) ion on the inactivation gate modulate activation-gate opening. Our data suggest a mechanism for controlling coordinated and sequential opening and closing of activation and inactivation gates in the K(+)-channel pore.

The molecular determinants necessary and sufficient for recognition of its specific DNA target are contained in the C-domain (H-NSctd) of nucleoid-associated protein H-NS. H-NSctd protects from DNaseI cleavage a few short DNA segments of the H-NS-sensitive hns promoter whose sequences closely match the recently identified H-NS consensus motif (tCGt/aTa/tAATT) and, alone or fused to the protein oligomerization domain of phage λ CI repressor, inhibits transcription from the hns promoter in vitro and in vivo. The importance of H-NS oligomerization is indicated by the fact that with an extended hns promoter construct (400 bp), which allows protein oligomerization, DNA binding and transcriptional repression are highly and almost equally efficient with native H-NS and H-NSctd::λCI and much less effective with the monomeric H-NSctd. With a shorter (110 bp) construct, which does not sustain extensive protein oligomerization, transcriptional repression is less effective, but native H-NS, H-NSctd::λCI and monomeric H-NSctd have comparable activity on this construct. The specific H-NS-DNA interaction was investigated by NMR spectroscopy using monomeric H-NSctd and short DNA duplexes encompassing the H-NS target sequence of hns (TCCTTACATT) with the best fit (8/10) to the H-NS binding motif. H-NSctd binds specifically and with high affinity to the chosen duplexes via an overall electropositive surface involving four residues (Thr109, Arg113, Thr114 and Ala116) belonging to the same protein loop and Glu101. The DNA target is recognized by virtue of its sequence and of a TpA step which confers a structural irregularity to the B-DNA duplex.

NMR studies of structural aspects of allosteric regulation by the Lac repressor requires overexpression and isotope labeling of the protein. The size of the repressor makes it a challenging target, putting constraints on both expression conditions and sample preparation methods to overcome problems associated with studies of larger proteins by NMR. We optimized protocols for the production of deuterated functionally active thermostable dimeric Lac repressor and its core domain mutants. The Lac repressor core domain has never been obtained as a recombinant protein, possibly due to the observed toxicity to the host cells. We overcame the core domain induced toxicity by co-expression of this domain with the full length Lac repressor, combined with a stringent control of culture conditions. Significant overexpression was only obtained if during all stages of pre-culturing the bacteria were kept in their exponential growth phase at low density. The sensitivity of NMR measurements is dramatically affected by buffer conditions; we therefore used a thermofluor buffer optimization screen to determine the optimal buffer conditions. The combined thermofluor and NMR screening method yielded thermostable fully functional Lac repressor domain samples suitable for high-resolution NMR studies. The optimized procedures to adapt Escherichia coli to growth in D2O, to overcome toxicity, and to optimize protein sample conditions provides a broad range of universally applicable techniques for production of larger proteins for NMR spectroscopy.

The relation of -synuclein (S) aggregation to Parkinson's disease (PD) has long been recognized, but the mechanism of toxicity, the pathogenic species and its molecular properties are yet to be identified. To obtain insight into the function different aggregated S species have in neurotoxicity in vivo, we generated S variants by a structure-based rational design. Biophysical analysis revealed that the S mutants have a reduced fibrillization propensity, but form increased amounts of soluble oligomers. To assess their biological response in vivo, we studied the effects of the biophysically defined pre-fibrillar S mutants after expression in tissue culture cells, in mammalian neurons and in PD model organisms, such as Caenorhabditis elegans and Drosophila melanogaster. The results show a striking correlation between S aggregates with impaired -structure, neuronal toxicity and behavioural defects, and they establish a tight link between the biophysical properties of multimeric S species and their in vivo function.

We show that water-edited solid-state NMR spectroscopy allows for probing global protein conformation and residue-specific solvent accessibility in a lipid bilayer environment. The transfer dynamics can be well described by a general time constant, irrespective of protein topology and lipid environment. This approach was used to follow structural changes in response to protein function in the chimeric potassium channel KcsA-Kv1.3. Data obtained as a function of pH link earlier biochemical data to changes in protein structure in a functional bilayer setting.

Skeletal alpha-tropomyosin (Tm) is a dimeric coiled-coil protein that forms linear assemblies under low ionic strength conditions in vitro through head-to-tail interactions. A previously published NMR structure of the Tin head-to-tail complex revealed that it is formed by the insertion of the N-terminal coiled-coil of one molecule into a cleft formed by the separation of the helices at the C-terminus of a second molecule. To evaluate the contribution of charged residues to complex stability, we employed single and double-mutant Tm fragments in which specific charged residues were changed to alanine in head-to-tail binding assays, and the effects of the mutations were analyzed by thermodynamic double-mutant cycles and protein-protein docking. The results show that residues K5, K7, and D280 are essential to the stability of the complex. Though D2, K6, D275, and H276 are exposed to the solvent and do not participate in intermolecular contacts in the NMR structure, they may contribute to head-to-tail complex stability by modulating the stability of the helices at the Tm termini.

The mechanistic understanding of how membrane-embedded sensor kinases recognize signals and regulate kinase activity is currently limited. Here we report structure-function relationships of the multidomain membrane sensor kinase DcuS using solidstate NMR, structural modeling and mutagenesis. Experimental data of an individual cytoplasmic Per-Arnt-Sim (PAS) domain were compared to structural models generated in silico. These studies, together with previous NMR work on the periplasmic PAS domain, enabled structural investigations of a membrane-embedded 40-kDa construct by solid-state NMR, comprising both PAS segments and the membrane domain. Structural alterations are largely limited to protein regions close to the transmembrane segment. Data from isolated and multidomain constructs favor a disordered N-terminal helix in the cytoplasmic domain. Mutations of residues in this region strongly influence function, suggesting that protein flexibility is related to signal transduction toward the kinase domain and regulation of kinase activity.

Pax-8 is a transcription factor belonging to the PAX genes superfamily and its crucial role has been proven both in embryo and in the adult organism. Pax-8 activity is regulated via a redoxbased mechanism centered on the glutathionylation of specific cysteines in the N-terminal region (Cys45 and Cys57). These residues belong to a highly evolutionary conserved DNA binding site: the Paired Box (Prd) domain. Crystallographic protein-DNA complexes of the homologues Pax-6 and Pax-5 showed a bipartite Prd domain consisting of two helix-turn-helix (HTH) motifs separated by an extended linker region. Here, by means of nuclear magnetic resonance, we show for the first time that the HTH motifs are largely defined in the unbound Pax-8 Prd domain. Our findings contrast with previous induced fit models, in which Pax-8 is supposed to largely fold upon DNA binding. Importantly, our data provide the structural basis for the enhanced chemical reactivity of residues Cys45 and Cys57 and explain clinical missense mutations that are not obviously related to the DNA binding interface of the paired box domain. Finally, sequence conservation suggests that our findings could be a general feature of the Pax family transcription factors.

Trimethylation of lysine residue K4 of histone H3 (H3K4me3) strongly correlates with active promoters for RNA polymerase II-transcribed genes. Several reader proteins, including the basal transcription factor TFIID, for this nucleosomal mark have been identified. Its TAF3 subunit specifically binds the H3K4me3 mark via its conserved plant homeodomain (PHD) finger. Here, we report the solution structure of the TAF3-PHD finger and its complex with an H3K4me3 peptide. Using a combination of NMR, mutagenesis, and affinity measurements, we reveal the structural basis of binding affinity, methylation-state specificity, and crosstalk with asymmetric dimethylation of R2. A unique local structure rearrangement in the K4me3-binding pocket of TAF3 due to a conserved sequence insertion underscores the requirement for cation-π interactions by two aromatic residues. Interference by asymmetric dimethylation of arginine 2 suggests that a H3R2/K4 “methyl-methyl” switch in the histone code dynamically regulates TFIID-promoter association.

Structures of biomolecular systems are increasingly computed by integrative modeling that relies on varied types of experimental data and theoretical information. We describe here the proceedings and conclusions from the first wwPDB Hybrid/Integrative Methods Task Force Workshop held at the European Bioinformatics Institute in Hinxton, UK, on October 6 and 7, 2014. At the workshop, experts in various experimental fields of structural biology, experts in integrative modeling and visualization, and experts in data archiving addressed a series of questions central to the future of structural biology. How should integrative models be represented? How should the data and integrative models be validated? What data should be archived? How should the data and models be archived? What information should accompany the publication of integrative models? The workshop was supported by funding to PDBe by Wellcome Trust 088944; RCSB PDB by NSF DBI 1338415; PDBj by JST-NBDC; BMRB by NLM P41 LM05799; EMDataBank by NIH GM079429; and tax-deductible donations made to the wwPDB Foundation in support of wwPDB outreach activities.

We report an experimental and theoretical study on type VIII beta-turn using a designed peptide of sequence GDNP. CD and NMR studies reveal that this peptide exists in equilibrium between type VIII beta-turn and extended conformations. Extensive MD simulations give a description of the free energy landscape of the peptide in which we retrieve the same two main conformations suggested by the experiments. The free energy difference between the two conformational states is very small and the transition between them occurs within a few kT at 300 K on a nanosecond timescale. The equilibrium is mainly driven by entropic contribution, which favors extended conformations over beta-turns. This confirms other theoretical studies showing that beta-turns are marginally stable in water solution because of the larger entropy of the extended state unless some stabilizing interactions exist. Our observations may be extended to any type of beta-turn and have important consequences for protein folding. A comparison of our MD and CD results also suggests a possible type VIII beta-turn CD signature indicated by one main band at 200 nm, close to that of random coil, and a fairly large shoulder at 220 nm. Last, our results clearly show that the XXXP motif can only fold into a type VIII beta-turn, which is consistent with its fairly strong propensity for this type of turn. This important finding may help for peptide design and is in line with recent studies on bioactive elastin peptides.

Current views of the role of beta-amyloid (A beta) peptide fibrils range from regarding them as the cause of Alzheimer's pathology to having a protective function. In the last few years, it has also been suggested that soluble oligomers might be the most important toxic species. In all cases, the study of the conformational properties of A beta peptides in soluble form constitutes a basic approach to the design of molecules with "antiamyloid" activity. We have experimentally investigated the conformational path that can lead the A beta-(1-42) peptide from the native state, which is represented by an alpha helix embedded in the membrane, to the final state in the amyloid fibrils, which is characterized by beta-sheet structures. The conformational steps were monitored by using CD and NMR spectroscopy in media of varying polarities. This was achieved by changing the composition of water and hexafluoroisopropanol (HFIP). In the presence of HFIP beta conformations can be observed in solutions that have very high water content (up to 999,6 water; v/v). These can be turned back to alpha helices simply by adding the appropriate amount of HFIP. The transition of A beta-(1-42) from alpha to beta conformations occurs when the amount of water is higher than 80% (v/v). The NMR structure solved in HFIP/H2O with high water content showed that on going from very apolar to polar environments, the long N-terminal helix is essentially retained, whereas the shorter C-terminal helix is lost. The complete conformational path was investigated in detail with the aid of molecular-dynamics simulations in explicit solvent, which led to the localization of residues that might seed beta conformations. The structures obtained might help to find regions that are more affected by environmental conditions in vivo. This could in turn aid the design of molecules able to inhibit fibril deposition or revert oligomerization processes.

The AppA BLUF domain is a blue light photoreceptor containing flavin. Conserved glutamine 63 is necessary for the photocycle of the protein, and its side chain has been proposed to flip in response to blue light illumination. Recently published crystal structures of AppA WT and the AppA mutant C20S describe contradictory conclusions regarding the orientation of the conserved glutamine 63 side chain in the dark. Here, we present evidence from NMR spectroscopy confirming light-induced flipping of the glutamine side chain to form a strong hydrogen bond between the glutamine 63 side chain carbonyl group and the tyrosine 21 side chain hydroxyl proton in the light-induced state. Our conclusions are consistent with published data from UV/vis absorbance and FTIR spectroscopy, as well as the crystal structure of AppA WT.

Translational initiation factor 2 (IF2) is a guanine nucleotide-binding protein that can bind guanosine 3′,5′-(bis) diphosphate (ppGpp), an alarmone involved in stringent response in bacteria. In cells growing under optimal conditions, the GTP concentration is very high, and that of ppGpp very low. However, under stress conditions, the GTP concentration may decline by as much as 50%, and that of ppGpp can attain levels comparable to those of GTP. Here we show that IF2 binds ppGpp at the same nucleotide-binding site and with similar affinity as GTP. Thus, GTP and the alarmone ppGpp can be considered two alternative physiologically relevant IF2 ligands. ppGpp interferes with IF2-dependent initiation complex formation, severely inhibits initiation dipeptide formation, and blocks the initiation step of translation. Our data suggest that IF2 has the properties of a cellular metabolic sensor and regulator that oscillates between an active GTP-bound form under conditions allowing active protein syntheses and an inactive ppGpp-bound form when shortage of nutrients would be detrimental, if not accompanied by slackening of this synthesis.

Chemical stimuli, generally constituted by small volatile organic molecules, are extremely important for the survival of different insect species. In the course of evolution, insects have developed very sophisticated biochemical systems for the binding and the delivery of specific semiochemicals to their cognate membrane-bound receptors. Chemosensory proteins (CSPs) are a class of small soluble proteins present at high concentration in insect chemosensory organs; they are supposed to be involved in carrying the chemical messages from the environment to the chemosensory receptors. In this paper, we report on the solution structure of CSPsg4, a chemosensory protein from the desert locust Schistocerca gregaria, which is expressed in the antennae and other chemosensory organs. The 3D NMR structure revealed an overall fold consisting of six alpha-helices, spanning residues 13-18, 20-31, 40-54, 62-78, 80-90, and 97-103, connected by loops which in some cases show dihedral angles typical of beta-turns. As in the only other chemosensory protein whose structure has been solved so far, namely, CSP from the moth Mamestra brassicae, four helices are arranged to form a V-shaped motif; another helix runs across the two V's, and the last one is packed against the external face. Analysis of the tertiary structure evidenced multiple hydrophobic cavities which could be involved in ligand binding. In fact, incubation of the protein with a natural ligand, namely, oleamide, produced substantial changes to the NMR spectra, suggesting extensive conformational transitions upon ligand binding.

Recognition of the lac operator by the lac repressor involves specific interactions between residues in the repressor's recognition helix and bases in the DNA major groove. Tyr17 and Gln18, at positions 1 and 2 in the lac repressor recognition helix, can be exchanged for other amino acids to generate mutant repressors that display altered specificity. We have solved the solution structure of a protein-DNA complex of an altered-specificity mutant lac headpiece in which Tyr17 and Gln18 were exchanged for valine and alanine, respectively, as found in the recognition helix of the gal repressor. As previously described by Lehming et al. (EMBO J. 1987, 6, 3145-3153), this altered-specificity mutant of the lac repressor recognizes a variant lac operator that is similar to the gal operator Oe. The mutant lac headpiece showed the predicted specificity and is also able to mimic the gal repressor by recognizing and bending the natural gal operator Oe. These structural data show that, while most of the anchoring points that help the lac headpiece to assemble on the lac operator were preserved, a different network of protein-DNA interactions connecting Ala 77 and Val18 to bases in the DNA major groove drives the specificity towards the altered operator. © 2005 Wiley-VCH Verlag GmbH & Co. KGaA.

Herpes simplex virion protein 16 (VP16) contains two strong activation regions that can independently and cooperatively activate transcription in vivo. We have identified the regions and residues involved in the interaction with the human transcriptional coactivator positive cofactor 4 (PC4) and the general transcription factor TFIIB. NMR and biochemical experiments revealed that both VP16 activation regions are required for the interaction and undergo a conformational transition from random coil to α-helix upon binding to its target PC4. The interaction is strongly electrostatically driven and the binding to PC4 is enhanced by the presence of its amino-terminal domain. We propose models for binding of VP16 to the core domains of PC4 and TFIIB that are based on two independent docking approaches using NMR chemical shift changes observed in titration experiments. The models are consistent with results from site-directed mutagenesis and provide an explanation for the contribution of both acidic and hydrophobic residues for transcriptional activation by VP16. Both intrinsically unstructured activation domains are attracted to their interaction partner by electrostatic interactions, and adopt an α-helical conformation around the important hydrophobic residues. The models showed multiple distinct binding surfaces upon interaction with various partners, providing an explanation for the promiscuous properties, cooperativity, and the high activity of this activation domain.

Proteins involved in signal transduction can usually be present in two states: an inactive and an active (signaling) state. In the case of photoreceptors such as PYP, it has been shown that the signaling state has a large degree of structural and dynamic disorder. Conventional structural NMR approaches present difficulties in describing such partially unfolded states. Owing to the disordered dynamical and transient nature of such states classical NOE-based information, when present, is sparse. Chemical shift changes upon partial unfolding can, however, be easily monitored from HSQC spectra. We show here that such states can be modeled by defining native-like inter-residue contacts for those residues that do not shift significantly upon partial unfolding. The feasibility of this approach is demonstrated using lysozyme as a test case and applied to model the partially unfolded signaling state (pB) of a truncated form of the photoactive yellow protein for which a ‘‘classical’’ NOE-based structure is available for validation. This approach should be generally applicable to systems in which part of the structure remains in a well-defined native-like conformation.

Sequence-specific protein-DNA interactions are responsible for the regulation of key biological functions such as replication of the genome, initiation of transcription, and repair of damaged DNA. All of these regulatory pathways are built on the foundation that proteins are able to bind selectively to a particular DNA site in the genome. The most challenging issue for specific protein-DNA recognition is that the target sequence is immersed in a huge molar excess of nonspecific DNA sequences, which also compete for the same protein. The distribution of protein between regulatory and nonspecific sequences determines the occupancy of the target site in the cell and, hence, the transcriptional activity of the corresponding promoter. The problem is much more acute than it is for other protein-ligand interactions, because obviously the protein cannot differentiate between these sites on the basis of their size or shape.1 For repressor molecules, such as the lactose (lac) repressor, the problem of finding the correct site is even more severe, as only a few copies ( 10) of the protein exist in the cell. Thus, to compete with the large excess of nonspecific genomic DNA, these proteins have evolved to bind with a very high specificity ratio ( 107).

The homodimeric HU protein from the hyperthermophile Thermotoga maritima (HUTmar) is a model system which can yield insights into the molecular determinants of thermostability in proteins. Unusually for a thermostable protein, HUTmar exists in a structurally heterogeneous state as evidenced by the assignment of two distinct and approximately equally populated forms in solution. Relaxation measurements combined with chemical shift, hydrogen exchange, and nuclear Overhauser enhancement data confirm the main structural features of both forms. In addition, these data support a two-state model for HUTmar in which the major form closely resembles the X-ray structure while the very flexible minor form is less structured. HUTmar may therefore be a new example of the small class of hyperthermostable proteins with unexpected flexibility.

A method to measure 13C-13C cross-relaxation rates in a fully 13C labeled protein has been developed that can give information about the mobility of side chains in proteins. The method makes use of the (H)CCH-NOESY pulse sequence and includes a suppression scheme for zero-quantum (ZQ) coherences that allows the extraction of initial rates from NOE buildup curves. The method has been used to measure 13C-13C cross-relaxation rates in the 269-residue serine-protease PB92. We focused on Cα-Cβ cross-relaxation rates, which could be extracted for 64% of all residues, discarding serine residues because of imperfect ZQ suppression, and methyl 13C-13C cross-relaxation rates, which could be extracted for 47% of the methyl containing C-C pairs. The Cα-Cβ cross-relaxation rates are on average larger in secondary structure elements as compared to loop regions, in agreement with the expected higher rigidity in these elements. The cross-relaxation rates for methyl containing C-C pairs show a general decrease of rates further into the side chain, indicating more flexibility with increasing separation from the main chain. In the case of leucine residues also long-range Cβ-Cδ cross-peaks are observed. Surprisingly, for most of the leucines a cross-peak with only one of the methyl Cδ carbons is observed, which correlates well with the χ2 torsion-angle and can be explained by a difference in mobility for the two methyl groups due to an anisotropic side chain motion.

The high sensitivity of modern NMR instrumentation, in combination with full deuteration, enabled the measurement of long-range NOEs between amide protons in a fully deuterated protein corresponding to distances up to 8 Å. These are beyond the limit normally observed in protonated samples. Such long-distance NOEs could be observed using long mixing times, which became possible due to reduced spin diffusion and T1 relaxation of the amide protons in the fully deuterated sample. This information was used in combination with secondary structure restraints derived from secondary chemical shifts for structure calculations. With these backbone amide proton NOEs only, a unique fold could be obtained with positional root mean square deviations from the average of 1.30 and 2.25 Å for backbone and heavy atoms, respectively. Despite the low density of restraints, no mirror image problems were observed. Addition of sidechain NOE information increased the precision of the ensemble and in particular of the core packing. The structures obtained in this way were close to the published crystal structure. NOE completeness analysis revealed that the cumulative completeness is still more than 80% for an 8.0 Å cut-off distance.

Mersacidin belongs to the type B lantibiotics (lanthionine-containing antibiotics) that contain post-translationally modified amino acids and cyclic ring structures. It targets the cell wall precursor lipid II and thereby inhibits cell wall synthesis. In light of the emerging antibiotics resistance problem, the understanding of the antibacterial activity on a structural basis provides a key to circumvent this issue. Here we present solution NMR studies of mersacidin-lipid II interaction in dodecylphosphocholine (DPC) micelles. Distinct solution structures of mersacidin were determined in three different states: in water/methanol solution and in DPC micelles with and without lipid II. The structures in various sample conditions reveal remarkable conformational changes in which the junction between Ala-12 and Abu-13 (where Abu is aminobutyric acid) effectively serves as the hinge for the opening and closure of the ring structures. The DPC micelle-bound form resembles the previously determined NMR and x-ray crystal structures of mersacidin in pure methanol but substantially deviates from the other two states in our current report. The structural changes delineate the large chemical shift perturbations observed during the course of a twostep 15N-1H heteronuclear single quantum coherence titration. They also modulate the surface charge distribution of mersacidin suggesting that electrostatics playa central role in the mersacidin-lipid II interaction. The observed conformational adaptability of mersacidin might be a general feature of lipid II-interacting antibiotics/peptides.

The long-lived light-induced intermediate (pB) of the E46Q mutant (glutamic acid is replaced by glutamine at position 46) of photoactive yellow protein (PYP) has been investigated by NMR spectroscopy. The ground state of this mutant is very similar to that of wild-type PYP (WT), whereas the pB state, formed upon illumination, appears to be much more structured in E46Q than in WT. The differences are most striking in the N-terminal domain of the protein. In WT, the side-chain carboxylic group of E46 is known to donate its proton to the chromophore upon illumination. The absence of the carboxylic group near the chromophore in the E46Q mutant prohibits the formation of a negative charge at this position upon formation of pB. This prevents the partial unfolding of the mutant, as evidenced from NMR chemical shift comparison and proton/deuterium (H/D) exchange studies.

Signal propagation in biological systems occurs through a series of inter- and intramolecular events, the precise pathways of which remain elusive in most cases. With respect to protein--DNA interactions in particular, little is known about the association and dissociation reaction pathways. Here we show that the exchange of amide protons detected by NMR can be used to characterize, at residue level, the mechanism, kinetics and thermodynamics of Lac headpiece (HP) interaction with DNA operators. Specific protein--DNA contacts responsible for the direct readout of the sequence are formed and broken at distinct time scales. Unfolding of the hinge helices triggers protein--DNA dissociation by progressive destabilization of distinct structural units, which is facilitated by the low stability of the protein in the uncomplexed state. Upon DNA binding, a dramatic alteration in the dynamics of the protein is observed, which may be used advantageously by the biological system to switch between functional states. Hydrogen-deuterium exchange can provide an unusually detailed view of the interaction mechanism of a protein--DNA complex and the associated energetics of DNA recognition with residue-level specificity.

The POU-domain transcription factor Pit-1 and Ets-1, a member of the ETS family of transcription factors, can associate in solution and synergistically activate the prolactin promoter by binding to a composite response element in the prolactin promoter. We mapped the minimal region of Ets-1 required for the interaction with the Pit-1 POU-homeodomain. Here, we describe a detailed NMR study of the interaction between the POU-homeodomain of Pit-1 and the minimal interacting region of Ets-1. By using heteronuclear single quantum coherence titration experiments, we were able to map exact residues on the POU-homeodomain that are involved in the interaction with this minimal Ets-1 interaction domain. By using ourNMRdata, we generated point mutants in the POU-homeodomain and tested their effect on the interaction with Ets-1. Our results show that phosphorylation of Pit-1 can regulate the interaction with Ets-1.

We have determined the structure of Kid toxin protein from E. coli plasmid R1 involved in stable plasmid inheritance by postsegregational killing of plasmid-less daughter cells. Kid forms a two-component system with its antagonist, Kis antitoxin. Our 1.4 Å crystal structure of Kid reveals a 2-fold symmetric dimer that closely resembles the DNA gyrase-inhibitory toxin protein CcdB from E. coli F plasmid despite the lack of any notable sequence similarity. Analysis of nontoxic mutants of Kid suggests a target interaction interface associated with toxicity that is in marked contrast to that proposed for CcdB. A possible region for interaction of Kid with the antitoxin is proposed that overlaps with the target binding site and may explain the mode of antitoxin action.

DNA replication in Escherichia coli and therefore bacterial proliferation relies upon the efficient functioning of the DnaB helicase. The toxin protein Kid from the plasmid-stability system parD encoded on plasmid R1 of E. coli is thought to target and block DnaB-dependent DNA replication. The toxicity of Kid is antagonized through interaction with the Kis antidote protein and the resultant complex can then act as a transcriptional regulator for the parD system. Crystals of selenomethionine-incorporated Kid have been obtained by the hanging-drop vapour-diffusion method using potassium phosphate as the precipitant. The crystals belong to the monoclinic system, space group P21, have unit-cell parameters a = 32.9, b = 45.0, c = 64.4 Å, β = 96.2° and diffract to a dmin of better than 1.8 Å on a synchrotron-radiation source. The determination of the structure of Kid will permit a better understanding of its interactions with DnaB and Kis and allow the evolutionary relationships of Kid to other toxins of plasmid and chromosomal origin to be explored.

The lac repressor-operator system is a model system for understanding protein-DNA interactions and allosteric mechanisms in gene regulation. Despite the wealth of biochemical data provided by extensive mutations of both repressor and operator, the specific recognition mechanism of the natural lac operators by lac repressor has remained elusive. Here we present the first high-resolution structure of a dimer of the DNA-binding domain of lac repressor bound to its natural operator 01. The global positioning of the dimer on the operator is dramatically asymmetric, which results in a different pattern of specific contacts between the two sites. Specific recognition is accomplished by a combination of elongation and twist by 48 degrees of the right lac subunit relative to the left one, significant rearrangement of many side chains as well as sequence-dependent deformability of the DNA. The set of recognition mechanisms involved in the lac repressor-operator system is unique among other protein-DNA complexes and presents a nice example of the adaptability that both proteins and DNA exhibit in the context of their mutual interaction.

Nisin is an example of type-A lantibiotics that contain cyclic lanthionine rings and unusual dehydrated amino acids. Among the numerous pore-forming antimicrobial peptides, type-A lantibiotics form an unique family of post-translationally modified peptides. Via the recognition of cell wall precursor lipid II, nisin has the capacity to form pores against Gram-positive bacteria with an extremely high activity in the nanomolar (nM) range. Here we report a high-resolution NMR spectroscopy study of nisin/lipid II interactions in SDS micelles as a model membrane system in order to elucidate the mechanism of molecular recognition at residue level. The binding to lipid II was studied through15N-1H HSQC titration, backbone amide proton temperature coefficient analysis, and heteronuclear 15N{1H}-NOE relaxation dynamics experiments. Upon the addition of lipid II, significant changes were monitored in the N-terminal part of nisin. An extremely low amide proton temperature coefficient (Δδ/ΔT) was found for the amide proton of Ala3 (> -0.1 ppb/K) in the complex form. This suggests tight hydrogen bonding and/or isolation from the bulk solvent for this residue. Large chemical shift perturbations were also observed in the first two rings. In contrast, the C-terminal part of nisin was almost unaffected. This part of the molecule remains flexible and solvent-exposed. On the basis of our results, a multistep pore-forming mechanism is proposed. The N-terminal part of nisin first binds to lipid II, and a subsequent structural rearrangement takes place. The C-terminal part of nisin is possibly responsible for the activation of the pore formation. In light of the emerging antibiotic resistance problems, an understanding of the specific recognition mechanism of nisin with lipid II at the residue specific level may therefore aid in the development of novel antibiotics.

The possibility of generating protein folds at the stage of backbone assignment using structural restraints derived from experimentally measured cross-hydrogen bond scalar couplings and secondary chemical shift information is investigated using as a test case the small alpha/beta protein chymotrypsin inhibitor 2. Dihedral angle restraints for the phi and psi angles of 32 out of 64 residues could be obtained from secondary chemical shift analysis with the TALOS program (Corneliscu et al., 1999a). This information was supplemented by 18 hydrogen-bond restraints derived from experimentally measured cross-hydrogen bond 3hbJNC' coupling constants. These experimental data were sufficient to generate structures that are as close as 1.0 A backbone rmsd from the crystal structure. The fold is, however, not uniquely defined and several solutions are generated that cannot be distinguished on the basis of violations or energetic considerations. Correct folds could be identified by combining clustering methods with knowledge-based potentials derived from structural databases.

A group of ubiquitous small proteins (average 13 kDa) has been isolated from several sensory organs of a wide range of insect species. They are believed to be involved in chemical communication and perception (olfaction or taste) and have therefore been called chemo-sensory proteins (CSPs). Several CSPs have been identified in the antennae and proboscis of the moth Mamestra brassicae. We have expressed one of the antennal proteins (CSPMbraA6) in large quantities as a soluble recombinant protein in Escherichia coli periplasm. This 112-residue protein is a highly soluble monomer of 13 072 Da with a pI of 5.5. NMR data (1H and 15N) indicate that CSPMbraA6 is well folded and contains seven α helices (59 amino acids) and two short extended structures (12 amino acids) from positions 5 to 10 and from 107 to 112. Thirty-seven amino acids are involved in β turns and coiled segments and four amino acids are not assigned in the NMR spectra (the N-terminus and the residue 52 in the loop 48–53), probably due to their mobility. This is the first report on the expression and structural characterization of a recombinant CSP.

The combined structural and biochemical studies on Lac repressor bound to operator DNA have demonstrated the central role of the hinge helices in operator bending and the induction mechanism. We have constructed a covalently linked dimeric Lac-headpiece that binds DNA with four orders of magnitude higher affinity as compared with the monomeric form. This enabled a detailed biochemical and structural study of Lac binding to its cognate wild-type and selected DNA operators. The results indicate a profound contribution of hinge helices to the stability of the protein–DNA complex and highlight their central role in operator recognition. Furthermore, protein–DNA interactions in the minor groove appear to modulate hinge helix stability, thus accounting for affinity differences and protein-induced DNA bending among the various operator sites. Interestingly, the in vitro DNA-binding affinity of the reported dimeric Lac construct can de readily modulated by simple adjustment of redox conditions, thus rendering it a potential artificial gene regulator.

The hydration of the collagen-like Ac-(Gly-Pro-Hyp)(6)-NH2 triple-helical peptide in solution was investigated using an integrated set of high-resolution NMR hydration experiments, including different recently developed exchange-network editing methods. This approach was designed to explore the hydration dynamics in the proximity of labile groups, such as the hydroxyproline hydroxyl group, and revealed that the first shell of hydration in collagen-like triple helices is kinetically labile with upper Limits for water molecule residence times in the nanosecond to sub-nanosecond range. This result is consistent with a "hopping" hydration model in which solvent molecules are exchanged in and out of solvation sites at a rate that is not directly correlated to the degree of site localization. The hopping model thus reconciles the dynamic view of hydration revealed by NMR with the previously suggested partially ordered semi-clathrate-like cylinder of hydration. Ln addition, the nanosecond to sub-nanosecond upper limits for water molecule residence times imply that hydration-dehydration events are not likely to be the rate-limiting step for triple helix self-recognition, complementing previous investigations on water dynamics in collagen fibers. This study has also revealed labile proton features expected to facilitate the characterization of the structure and folding of triple helices in collagen peptides. (C) 2000 Academic Press.