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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. During the life cycle of enteric bacterium Escherichia coli, it encounters a wide spectrum of pH changes. The asymmetric dimer of the cAMP receptor protein, CRP, plays a key role in regulating the expressions of genes and the survival of E. coli. To elucidate the pH effects on the mechanism of signal transmission, we present a combination of results derived from ITC, crystallography, and computation. CRP responds to a pH change by inducing a differential effect on the affinity for the binding events to the two cAMP molecules, ensuing in a reversible conversion between positive and negative cooperativity at high and low pH, respectively. The structures of four crystals at pH ranging from 7.8 to 6.5 show that CRP responds by inducing a differential effect on the structures of the two subunits, particularly in the DNA binding domain. Employing the COREX/BEST algorithm, computational analysis shows the change in the stability of residues at each pH. The change in residue stability alters the connectivity between residues including those in cAMP and DNA binding sites. Consequently, the differential impact on the topology of the connectivity surface among residues in adjacent subunits is the main reason for differential change in affinity; that is, the pH-induced differential change in residue stability is the biothermodynamic basis for the change in allosteric behavior. Furthermore, the structural asymmetry of this homodimer amplifies the differential impact of any perturbations. Hence, these results demonstrate that the combination of these approaches can provide insights into the underlying mechanism of an apparent complex allostery signal and transmission in CRP. National Institutes of Health Revisión por pares

During the life cycle of enteric bacterium

The theory for allostery has evolved to a modern Energy Landscape Ensemble Theory, the major feature of which is the existence of multiple microstates in equilibrium. The properties of microstates are not well defined due to their transient nature. Characterization of apo protein microstates is important because the specific complex of the ligand-bound-microstate defines the biological function. The needed information to link biological function and structure is a quantitative correlation of the energy landscapes between apo and holo states of protein. We employed the E. coli cAMP Receptor Protein (CRP) system to test the features imbedded in the Ensemble Theory since multiple crystalline apo and holo structures are available. Small Angle X-ray Scattering (SAXS) data eliminated one of the three apo states but not the other two. We defined the underlying energy landscapes differences among the apo microstates by employing the computation algorithm COREX/BEST. The same connectivity patterns among residues i...

The Escherichia coli cAMP receptor protein, CRP, is a homodimeric global transcription activator that employs multiple mechanisms to modulate the expression of hundreds of genes. These mechanisms require different interfacial interactions among CRP, RNA, and DNA of varying sequences. The involvement of such a multiplicity of interfaces requires a tight control to ensure the desired phenotype. CRP-dependent promoters can be grouped into three classes. For decades scientists in the field have been puzzled over the differences in mechanisms between class I and II promoters. Using a new crystal structure, IR spectroscopy, and computational analysis, we defined the energy landscapes of WT and 14 mutated CRPs to determine how a homodimeric protein can distinguish nonpalindromic DNA sequences and facilitate communication between residues located in three different activation regions (AR) in CRP that are ∼30 Å apart. We showed that each mutation imparts differential effects on stability among the subunits and domains in CRP. Consequently, the energetic landscapes of subunits and domains are different, and CRP is asymmetric. Hence, the same mutation can exert different effects on ARs in class I or II promoters. The effect of a mutation is transmitted through a network by long-distance communication not necessarily relying on physical contacts between adjacent residues. The mechanism is simply the sum of the consequences of modulating the synchrony of dynamic motions of residues at a distance, leading to differential effects on ARs in different subunits. The computational analysis is applicable to any system and potentially with predictive capability.

Initiation factor IF3 is an essential protein that enhances the fidelity and speed of bacterial mRNA translation initiation. Here, we describe the dynamic interplay between IF3 domains and their alternative binding sites using pre-steady state kinetics combined with molecular modelling of available structures of initiation complexes. Our results show that IF3 accommodates its domains at velocities ranging over two orders of magnitude, responding to the binding of each 30S ligand. IF1 and IF2 promote IF3 compaction and the movement of the C-terminal domain (IF3C) towards the P site. Concomitantly, the N-terminal domain (IF3N) creates a pocket ready to accept the initiator tRNA. Selection of the initiator tRNA is accompanied by a transient accommodation of IF3N towards the 30S platform. Decoding of the mRNA start codon displaces IF3C away from the P site and rate limits translation initiation. 70S initiation complex formation brings IF3 domains in close proximity to each other prior to dissociation and recycling of the factor for a new round of translation initiation. Altogether, our results describe the kinetic spectrum of IF3 movements and highlight functional transitions of the factor that ensure accurate mRNA translation initiation. InnovatePeru [382-PNICP-PIBA-2014 and 297INNOVATEPERU-EC-2016 to P.M.]; Fondo Nacional de Desarrollo Cientifico, Tecnologico y de Innovacion Tecnologica [154-2017-Fondecyt and 0362019-Fondecyt-BM-INC.INV to P.M.]; FIRB Futuro in Ricerca [RBFR130VS5 001 to A.F.]; Italian Ministero dell'Istruzione, dell'Universita e della Ricerca (to A.F.); Part of the work on structural dynamics of the ribosome was supported by Russian Science Foundation [17-1401416 to A.L.K.]. Funding for open access: Universidad Peruana de Ciencias Aplicadas (Exp-03).

The theory for allostery has evolved to a modern energy landscape ensemble theory, the major feature of which is the existence of multiple microstates in equilibrium. The properties of microstates are not well defined due to their transient nature. Characterization of apo protein microstates is important because the specific complex of the ligand-bound microstate defines the biological function. The information needed to link biological function and structure is a quantitative correlation of the energy landscapes between the apo and holo protein states. We employed the Escherichia coli cAMP receptor protein (CRP) system to test the features embedded in the ensemble theory because multiple crystalline apo and holo structures are available. Small angle X-ray scattering data eliminated one of the three apo states but not the other two. We defined the underlying energy landscape differences among the apo microstates by employing the computation algorithm COREX/BEST. The same connectivity patterns among residues in apo CRP are retained upon binding of cAMP. The microstates of apo CRP differ from one another by minor structural perturbations, resulting in changes in the energy landscapes of the various domains of CRP. Using the differences in energy landscapes among these apo states, we computed the cAMP binding energetics that were compared with solution biophysical results. Only one of the three apo microstates yielded data consistent with the solution data. The relative magnitude of changes in energy landscapes embedded in various apo microstates apparently defines the ultimate outcome of the cooperativity of binding.

Interfacial proteins function in unique heterogeneous solvent environments, such as water-oil interfaces. One important example is microbial lipase, which is activated in an oil-water emulsion phase and has many important enzymatic functions. A unique aprotic dipolar organic solvent, dimethyl sulfoxide (DMSO), has been shown to increase the activity of lipases, but the mechanism behind this enhancement is still unknown. Here, all-atom molecular dynamics simulations of lipase in a binary solution were performed to examine the effects of DMSO on the dynamics of the gating mechanism. The amphiphilic α5 region of the lipase was a focal point for the analysis, since the structural ordering of α5 has been shown to be important for gating under other perturbations. Compared to the closed-gorge ensemble in an aqueous environment, the conformational ensemble shifts towards open-gorge structures in the presence of DMSO solvents. Increased width of the access channel is particularly prevalent in 45% and 60% DMSO concentrations (w/w). As the amount of DMSO increases, the α5 region of the lipase becomes more α-helical, as we previously observed in studies that address water-oil interfacial and high pressure activation. We believe that the structural ordering of α5 plays an essential role on gating and lipase activity.

Ensemble docking in drug discovery or chemical biology uses dynamical simulations of target proteins to generate binding site conformations for docking campaigns. We show that 600 ns molecular dynamics simulations of four G-protein-coupled receptors in their membrane environments generate ensembles of protein configurations that, collectively, are selected by 70?99% of the known ligands of these proteins. Therefore, the process of ligand recognition by conformational selection can be reproduced by combining molecular dynamics and docking calculations. Clustering of the molecular dynamics trajectories, however, does not necessarily identify the protein conformations that are most often selected by the ligands.

Aminoglycoside nucleotidyltransferase 4′ (ANT) is a homodimeric enzyme that modifies the C4′-OH site of aminoglycoside antibiotics by nucleotidylation. A few single- and double-residue mutants of this enzyme (T130K, D80Y, and D80Y/T130K) from Bacillus stearothermophilus show increased thermostability. This article investigates how such residue replacements, which are distant from the active site and monomer–monomer interface, result in various changes of the thermostability of the enzyme. In this work, we show that the thermodynamic properties of enzyme–ligand complexes and protein dynamics may be indicators of a thermophilic behavior. Our data suggests that one of the single-site mutants of ANT, D80Y, may be a thermophilic protein and the other thermostable mutant, T130K, is actually a more heat-stable variant of the mesophilic wild type (WT) with a higher Tm. Our data also suggest that T130K and D80Y adopt different global dynamics strategies to achieve different levels of thermostability enhancement an...

Interfacial proteins function in unique heterogeneous solvent environments, such as water-oil interfaces. One important example is microbial lipase, which is activated in an oil-water emulsion phase and has many important enzymatic functions. A unique aprotic dipolar organic solvent, dimethyl sulfoxide (DMSO), has been shown to increase the activity of lipases, but the mechanism behind this enhancement is still unknown. Here, all-atom molecular dynamics simulations of lipase in a binary solution were performed to examine the effects of DMSO on the dynamics of the gating mechanism. The amphiphilic α5 region of the lipase was a focal point for the analysis, since the structural ordering of α5 has been shown to be important for gating under other perturbations. Compared to the closed-gorge ensemble in an aqueous environment, the conformational ensemble shifts towards open-gorge structures in the presence of DMSO solvents. Increased width of the access channel is particularly prevalent in 45% and 60% DMSO concentrations (w/w). As the amount of DMSO increases, the α5 region of the lipase becomes more α-helical, as we previously observed in studies that address water-oil interfacial and high pressure activation. We believe that the structural ordering of α5 plays an essential role on gating and lipase activity.

This paper describes and illustrates the use of ensemble-based docking, i.e., using a collection of protein structures in docking calculations for hit discovery, the exploration of biochemical pathways and toxicity prediction of drug candidates. We describe the computational engineering work necessary to enable large ensemble docking campaigns on supercomputers. We show examples where ensemble-based docking has significantly increased the number and the diversity of validated drug candidates. Finally, we illustrate how ensemble-based docking can be extended beyond hit discovery and toward providing a structural basis for the prediction of metabolism and off-target binding relevant to pre-clinical and clinical trials.

Protein-protein interactions are recognized as a fundamental phenomenon that is intimately associated with biological functions and thus are ideal targets for developing modulators for regulating biological functions. A challenge is to identify a site that is situated away from but functionally connected to the protein-protein interface. We employed bone morphogenetic proteins (BMPs) and their receptors as a model system to develop a strategy for identifying such a network of communication. Accordingly, using computational analyses with the COREX/BEST algorithm, we uncovered an overall pattern connecting various regions of BMPR-1B ectodomain, including the four conserved residues in the protein-protein interface. In preparation for testing the long-range effects of mutations of distal residues for future studies, we examined the extent of measurable perturbation of the four conserved residues by determination of the conformation and relative affinities of these BMPR-1B mutants for ligands BMP-2, -6, and -7 and GDF-5. Results suggest no significant structural changes in the receptor but do suggest that the four residues play different roles in defining ligand affinity and both intra- and intermolecular interactions play a role in defining ligand affinity. Thus, these results established two primary but necessary goals: (1) the baseline knowledge of perturbation of conserved interfacial residues for future reference and (2) the ability of the computational approach to identify the distal residues connecting to the interfacial residues. The data presented here provide the foundation for future experiments to identify the effects of distal residues that affect the specificity and affinity of BMP recognition. Protein-protein interactions are integral reactions in essentially all biological activities such as gene regulation and age-related development. Often, diseases are consequences of the alteration of these intermacromolecular interactions, which are thus recognized as a legitimate target for developing modulators for regulating biological functions. One approach is to design ligands that bind to the protein-protein interface. Another is to identify an allosteric site, an advantage of which is bypassing the potential challenge in competing for high-affinity interfacial interactions or a specific interface in a superassembly of multiple macromolecules. However, a challenge of this approach is identifying a site that is situated away from but functionally connected to the protein-protein interface.