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Protein engineering has contributed to successes in the field of T cell-based immunotherapy, including chimeric antigen receptor (CAR) T cell therapy. CAR T cell therapy has become a pillar of cancer immunotherapy, demonstrating clinical effectiveness against B cell malignancies by targeting the B cell antigen CD19. Current gene editing techniques have limited safety controls over CAR T cell activity, which presents a hurdle for control of CAR T cells in patients. Alternatively, CAR T cell activity can be controlled by engineering CARs to bind soluble adapter molecules that direct the interaction between the CAR T cell and target cell. The flexibility in this adapter-mediated approach overcomes the rigid specificity of traditional CAR T cells to allow targeting of multiple cell types. Here we describe adapter CAR T technologies and how these methods emphasize the growing role of protein engineering in the design of programmable tools for T cell therapies.

Dengue viruses (DENV serotypes 1-4) and Zika virus (ZIKV) are related flaviviruses that continue to be a public health concern, infecting hundreds of millions of people annually. The traditional live-attenuated virus vaccine approach has been challenging for the four DENV serotypes because of the need to achieve balanced replication of four independent vaccine components. Subunit vaccines represent an alternative approach that may circumvent problems inherent with live-attenuated DENV vaccines. In mature virus particles, the envelope (E) protein forms a homodimer that covers the surface of the virus and is the major target of neutralizing antibodies. Many neutralizing antibodies bind to quaternary epitopes that span across both E proteins in the homodimer. For soluble E (sE) protein to be a viable subunit vaccine, the antigens should be easy to produce and retain quaternary epitopes recognized by neutralizing antibodies. However, WT sE proteins are primarily monomeric at conditions relevant for vaccination and exhibit low expression yields. Previously, we identified amino acid mutations that stabilize the sE homodimer from DENV2 and dramatically raise expression yields. Here, we tested whether these same mutations raise the stability of sE from other DENV serotypes and ZIKV. We show that the mutations raise thermostability for sE from all the viruses, increase production yields from 4-fold to 250-fold, stabilize the homodimer, and promote binding to dimer-specific neutralizing antibodies. Our findings suggest that these sE variants could be valuable resources in the efforts to develop effective subunit vaccines for DENV serotypes 1 to 4 and ZIKV.

Engineered, light-sensitive protein switches are used to interrogate a broad variety of biological processes. These switches are typically constructed by genetically fusing naturally occurring light-responsive protein domains with functional domains from other proteins. Protein activity can be controlled using a variety of mechanisms including light-induced colocalization, caging, and allosteric regulation. Protein design efforts have focused on reducing background signaling, maximizing the change in activity upon light stimulation, and perturbing the kinetics of switching. It is common to combine structure-based modeling with experimental screening to identify ideal fusion points between domains and discover point mutations that optimize switching. Here, we introduce commonly used light-sensitive domains and summarize recent progress in using them to regulate protein activity.

During signal transduction, the G protein, Gαq, binds and activates phospholipase C-β isozymes. Several diseases have been shown to manifest upon constitutively activating mutation of Gαq, such as uveal melanoma. Therefore, methods are needed to directly inhibit Gαq. Previously, we demonstrated that a peptide derived from a helix-turn-helix (HTH) region of PLC-β3 (residues 852-878) binds Gαq with low micromolar affinity and inhibits Gαq by competing with full-length PLC-β isozymes for binding. Since the HTH peptide is unstructured in the absence of Gαq, we hypothesized that embedding the HTH in a folded protein might stabilize the binding-competent conformation and further improve the potency of inhibition. Using the molecular modeling software Rosetta, we searched the Protein Data Bank for proteins with similar HTH structures near their surface. The candidate proteins were computationally docked against Gαq and their surfaces were redesigned to stabilize this interaction. We then used yeast surface display to affinity mature the designs. The most potent design bound Gαq/i with high affinity in vitro (KD = 18 nM) and inhibited activation of PLC-β isozymes in HEK293 cells. We anticipate that our genetically encoded inhibitor will help interrogate the role of Gαq in healthy and disease model systems. Our work demonstrates that grafting interaction motifs into folded proteins is a powerful approach for generating inhibitors of protein-protein interactions.

Cells have evolved a variety of mechanisms to regulate the enormous complexity of processes taking place inside them. One mechanism consists in tightly controlling the localization of macromolecules, keeping them away from their place of action until needed. Since a large fraction of the cellular response to external stimuli is mediated by gene expression, it is not surprising that transcriptional regulators are often subject to stimulus-induced nuclear import or export. Here we review recent methods in chemical biology and optogenetics for controlling the nuclear localization of proteins of interest inside living cells. These methods allow researchers to regulate protein activity with exquisite spatiotemporal control, and open up new possibilities for studying the roles of proteins in a broad array of cellular processes and biological functions.

Protein ubiquitination involves E1, E2, and E3 trienzyme cascades. E2 and RING E3 enzymes often collaborate to first prime a substrate with a single ubiquitin (UB) and then achieve different forms of polyubiquitination: multiubiquitination of several sites and elongation of linkage-specific UB chains. Here, cryo-EM and biochemistry show that the human E3 anaphase-promoting complex/cyclosome (APC/C) and its two partner E2s, UBE2C (aka UBCH10) and UBE2S, adopt specialized catalytic architectures for these two distinct forms of polyubiquitination. The APC/C RING constrains UBE2C proximal to a substrate and simultaneously binds a substrate-linked UB to drive processive multiubiquitination. Alternatively, during UB chain elongation, the RING does not bind UBE2S but rather lures an evolving substrate-linked UB to UBE2S positioned through a cullin interaction to generate a Lys11-linked chain. Our findings define mechanisms of APC/C regulation, and establish principles by which specialized E3-E2-substrate-UB architectures control different forms of polyubiquitination.

SummaryProtein design tests our understanding of protein stability and structure. Successful design methods should allow the exploration of sequence space not found in nature. However, when redesigning naturally occurring protein structures, most fixed backbone design algorithms return amino acid sequences that share strong sequence identity with wild-type sequences, especially in the protein core. This behavior places a restriction on functional space that can be explored and is not consistent with observations from nature, where sequences of low identity have similar structures. Here, we allow backbone flexibility during design to mutate every position in the core (38 residues) of a four-helix bundle protein. Only small perturbations to the backbone, 1–2 Å, were needed to entirely mutate the core. The redesigned protein, DRNN, is exceptionally stable (melting point >140°C). An NMR and X-ray crystal structure show that the side chains and backbone were accurately modeled (all-atom RMSD = 1.3 Å).

Pathways of ubiquitin-like (UBL) molecule transfer regulate a myriad of cellular cascades. Here, we report a high-throughput assay that correlates catalytic human NEDD8 transfer to bacterial survival. The assay was utilized to screen mutant NEDD8 and NAE (NEDD8-activating enzyme) libraries to engineer a more stable NEDD8 and redesign the NEDD8-NAE interface. This approach will be useful in understanding the specificities underlying UBL pathways.

Summary Mutation of surface residues to charged amino acids increases resistance to aggregation and can enable reversible unfolding. We have developed a protocol using the Rosetta computational design package that "supercharges" proteins while considering the energetic implications of each mutation. Using a homology model, a single-chain variable fragment antibody was designed that has a markedly enhanced resistance to thermal inactivation and displays an unanticipated ≈30-fold improvement in affinity. Such supercharged antibodies should prove useful for assays in resource-limited settings and for developing reagents with improved shelf lives.

We substantiate our preliminary description of the class I tryptophanyl-tRNA synthetase minimal catalytic domain with details of its construction, structure, and steady-state kinetic parameters. Generating that active fragment involved deleting 65% of the contemporary enzyme, including the anticodon-binding domain and connecting peptide 1, CP1, a 74-residue internal segment from within the Rossmann fold. We used protein design (Rosetta), rather than phylogenetic sequence alignments, to identify mutations to compensate for the severe loss of modularity, thus restoring stability, as evidenced by renaturation described previously and by 70-ns molecular dynamics simulations. Sufficient solubility to enable biochemical studies was achieved by expressing the redesigned Urzyme as a maltose-binding protein fusion. Michaelis-Menten kinetic parameters from amino acid activation assays showed that, compared with the native full-length enzyme, TrpRS Urzyme binds ATP with similar affinity. This suggests that neither of the two deleted structural modules has a strong influence on ground-state ATP binding. However, tryptophan has 103 lower affinity, and the Urzyme has comparably reduced specificity relative to the related amino acid, tyrosine. Molecular dynamics simulations revealed how CP1 may contribute significantly to cognate amino acid specificity. As class Ia editing domains are nested within the CP1, this finding suggests that this module enhanced amino acid specificity continuously, throughout their evolution. We call this type of reconstructed protein catalyst an Urzyme (Ur prefix indicates original, primitive, or earliest). It establishes a model for recapitulating very early steps in molecular evolution in which fitness may have been enhanced by accumulating entire modules, rather than by discrete amino acid sequence changes.

DNA methylation patterns regulate gene expression programs and are maintained through a highly coordinated process orchestrated by the RING E3 ubiquitin ligase UHRF1. UHRF1 controls DNA methylation inheritance by reading epigenetic modifications to histones and DNA to activate histone H3 ubiquitylation. Here, we find that all five domains of UHRF1, including the previously uncharacterized ubiquitin-like domain (UBL), cooperate for hemi-methylated DNA-dependent H3 ubiquitin ligation. Our structural and biochemical studies, including mutations found in cancer genomes, reveal a bifunctional requirement for the UBL in histone modification: (1) the UBL makes an essential interaction with the backside of the E2 and (2) the UBL coordinates with other UHRF1 domains that recognize epigenetic marks on DNA and histone H3 to direct ubiquitin to H3. Finally, we show UBLs from other E3s also have a conserved interaction with the E2, Ube2D, highlighting a potential prevalence of interactions between UBLs and E2s.

SummaryDegradation by the ubiquitin-proteasome system requires assembly of a polyubiquitin chain upon substrate. However, the structural and mechanistic features that enable template-independent processive chain synthesis are unknown. We show that chain assembly by ubiquitin ligase SCF and ubiquitin-conjugating enzyme Cdc34 is facilitated by the unusual nature of Cdc34-SCF transactions: Cdc34 binds SCF with nanomolar affinity, nevertheless the complex is extremely dynamic. These properties are enabled by rapid association driven by electrostatic interactions between the acidic tail of Cdc34 and a basic ‘canyon’ in the Cul1 subunit of SCF. Ab initio docking between Cdc34 and Cul1 predicts intimate contact between the tail and the basic canyon, an arrangement confirmed by crosslinking and kinetic analysis of mutants. Basic canyon residues are conserved in both Cul1 paralogs and orthologs, suggesting that the same mechanism underlies processivity for all cullin-RING ubiquitin ligases. We discuss different strategies by which processive ubiquitin chain synthesis may be achieved.

SummaryB. stearothermophilus tryptophanyl-tRNA synthetase catalysis proceeds via high-energy protein conformations. Unliganded MD trajectories of the pretransition-state complex with Mg2+•ATP and the (post) transition-state analog complex with adenosine tetraphosphate relax rapidly in opposite directions, the former regressing, the latter progressing along the structural reaction coordinate. The two crystal structures (rmsd 0.7 Å) therefore lie on opposite sides of a conformational free-energy maximum as the chemical transition state forms. SNAPP analysis illustrates the complexity of the associated long-range conformational coupling. Switching interactions in four nonpolar core regions are locally isoenergetic throughout the transition. Different configurations, however, propagate their effects to unfavorable, longer-range interactions at the molecular surface. Designed mutation shows that switching interactions enhance the rate, perhaps by destabilizing the ground state immediately before the transition state and limiting nonproductive diffusion before and after the chemical transition state, thereby reducing the activation entropy. This paradigm may apply broadly to energy-transducing enzymes.

The ability to manipulate protein binding affinities is important for the development of proteins as biosensors, industrial reagents, and therapeutics. We have developed a structure-based method to rationally predict single mutations at protein-protein interfaces that enhance binding affinities. The protocol is based on the premise that increasing buried hydrophobic surface area and/or reducing buried hydrophilic surface area will generally lead to enhanced affinity if large steric clashes are not introduced and buried polar groups are not left without a hydrogen bond partner. The procedure selects affinity enhancing point mutations at the protein-protein interface using three criteria: 1) the mutation must be from a polar amino acid to a non-polar amino acid or from a non-polar amino acid to a larger non-polar amino acid, 2) the free energy of binding as calculated with the Rosetta protein modeling program should be more favorable than the free energy of binding calculated for the wild type complex and 3) the mutation should not be predicted to significantly destabilize the monomers. The Rosetta energy function emphasizes short-range interactions: steric repulsion, Van der Waals forces, hydrogen bonding, and an implicit solvation model that penalizes placing atoms adjacent to polar groups. The performance of the computational protocol was experimentally tested on two separate protein complexes; Gαi1 from the heterotrimeric G-protein system bound to the RGS14 GoLoco motif, and the E2, UbcH7, bound to the E3, E6AP from the ubiquitin pathway. 12 single-site mutations that were predicted to be stabilizing were synthesized and characterized in the laboratory. 9 of the 12 mutations successfully increased binding affinity with 5 of these increasing binding by over 1.0 kcal/mol. To further assess our approach we searched the literature for point mutations that pass our criteria and have experimentally determined binding affinities. Of the 8 mutations identified, 5 were accurately predicted to increase binding affinity, further validating the method as a useful tool to increase protein-protein binding affinities.

We recently used computational protein design to create an extremely stable, globular protein, Top7, with a sequence and fold not observed previously in nature. Since Top7 was created in the absence of genetic selection, it provides a rare opportunity to investigate aspects of the cellular protein production and surveillance machinery that are subject to natural selection. Here we show that a portion of the Top7 protein corresponding to the final 49 C-terminal residues is efficiently mis-translated and accumulates at high levels in Escherichia coli. We used circular dichroism, size-exclusion chromatography, small-angle X-ray scattering, analytical ultra-centrifugation, and NMR spectroscopy to show that the resulting C-terminal fragment (CFr) protein adopts a compact, extremely stable, homo-dimeric structure. Based on the solution structure, we engineered an even more stable variant of CFr by disulfide-induced covalent circularisation that should be an excellent platform for design of novel functions. The accumulation of high levels of CFr exposes the high error rate of the protein translation machinery. The rarity of correspondingly stable fragments in natural proteins coupled with the observation that high quality ribosome binding sites are found to occur within E. coli protein-coding regions significantly less often than expected by random chance implies a stringent evolutionary pressure against protein sub-fragments that can independently fold into stable structures. The symmetric self-association between two identical mis-translated CFr sub-domains to generate an extremely stable structure parallels a mechanism for natural protein-fold evolution by modular recombination of protein sub-structures.

Protein conformational switches are ubiquitous in nature and often regulate key biological processes. To design new proteins that can switch conformation, protein designers have focused on the two key components of protein switches: the amino acid sequence must be compatible with the multiple target states and there must be a mechanism for perturbing the relative stability of these states. Proteins have been designed that can switch between folded and disordered states, between distinct folded states and between different aggregation states. A variety of trigger mechanisms have been used, including pH shifts, post-translational modification and ligand binding. Recently, computational protein design methods have been applied to switch design. These include algorithms for designing novel ligand-binding sites and simultaneously optimizing a sequence for multiple target structures.

A previously developed computer program for protein design, RosettaDesign, was used to predict low free energy sequences for nine naturally occurring protein backbones. RosettaDesign had no knowledge of the naturally occurring sequences and on average 65% of the residues in the designed sequences differ from wild-type. Synthetic genes for ten completely redesigned proteins were generated, and the proteins were expressed, purified, and then characterized using circular dichroism, chemical and temperature denaturation and NMR experiments. Although high-resolution structures have not yet been determined, eight of these proteins appear to be folded and their circular dichroism spectra are similar to those of their wild-type counterparts. Six of the proteins have stabilities equal to or up to 7 kcal/mol greater than their wild-type counterparts, and four of the proteins have NMR spectra consistent with a well-packed, rigid structure. These encouraging results indicate that the computational protein design methods can, with significant reliability, identify amino acid sequences compatible with a target protein backbone.

Protein –protein docking algorithms provide a means to elucidate structural details for presently unknown complexes. Here, we present and evaluate a new method to predict protein –protein complexes from the coordinates of the unbound monomer components. The method employs a low-resolution, rigid-body, Monte Carlo search followed by simultaneous optimization of backbone displacement and side-chain conformations using Monte Carlo minimization. Up to 10 5 independent simulations are carried out, and the resulting “decoys” are ranked using an energy function dominated by van der Waals interactions, an implicit solvation model, and an orientation-dependent hydrogen bonding potential. Top-ranking decoys are clustered to select the final predictions. Small-perturbation studies reveal the formation of binding funnels in 42 of 54 cases using coordinates derived from the bound complexes and in 32 of 54 cases using independently determined coordinates of one or both monomers. Experimental binding affinities correlate with the calculated score function and explain the predictive success or failure of many targets. Global searches using one or both unbound components predict at least 25% of the native residue –residue contacts in 28 of the 32 cases where binding funnels exist. The results suggest that the method may soon be useful for generating models of biologically important complexes from the structures of the isolated components, but they also highlight the challenges that must be met to achieve consistent and accurate prediction of protein –protein interactions. q 2003 Elsevier Ltd. All rights reserved

The rational design of loops and turns is a key step towards creating proteins with new functions. We used a computational design procedure to create new backbone conformations in the second turn of protein L. The Protein Data Bank was searched for alternative turn conformations, and sequences optimal for these turns in the context of protein L were identified using a Monte Carlo search procedure and an energy function that favors close packing. Two variants containing 12 and 14 mutations were found to be as stable as wild-type protein L. The crystal structure of one of the variants has been solved at a resolution of 1.9 A, and the backbone conformation in the second turn is remarkably close to that of the in silico model (1.1 A RMSD) while it differs significantly from that of wild-type protein L (the turn residues are displaced by an average of 7.2 A). The folding rates of the redesigned proteins are greater than that of the wild-type protein and in contrast to wild-type protein L the second beta-turn appears to be formed at the rate limiting step in folding.

Over the past decade, the Rosetta biomolecular modeling suite has informed various biological questions ranging from folding and docking to the interpretation of low-resolution structural data, design of nanomaterials, and vaccines. Central to Rosetta's success is the energy function: a set of mathematical models used to approximate the free energy of a macromolecule. In this presentation, we will describe the concepts and calculations that underlie the Rosetta energy function. We will present the mathematics and origin of the major energy terms (van der Waals, implicit solvation, electrostatics, and hydrogen bonding, and design reference energies), and we will explain where numerical stability and efficiency limitations have led to modifications of these functions. Applying these concepts, we will explain how to use a Rosetta energy calculation to select and analyze the features of output models. Finally, we discuss the latest advances in the energy function that extend capabilities from soluble proteins to also include membranes, DNA, RNA, and other macromolecules.

The N-terminal domain of the ribosomal protein L9 forms a split βαβ structure with a long C-terminal helix. The folding transitions of a 56 residue version of this protein have previously been characterized, here we report the results of a study of a truncation mutant corresponding to residues 1–51. The 51 residue protein adopts the same fold as the 56 residue protein as judged by CD and two-dimensional NMR, but it is less stable as judged by chemical and thermal denaturation experiments. Studies with synthetic peptides demonstrate that the C-terminal helix of the 51 residue version has very little propensity to fold in isolation in contrast to the C-terminal helix of the 56 residue variant. The folding rates of the two proteins, as measured by stopped-flow fluorescence, are essentially identical, indicating that formation of local structure in the C-terminal helix is not involved in the rate-limiting step of folding.

The folding and unfolding kinetics of the N-terminal domain of the ribosomal protein L9 have been measured at temperatures between 7 and 85°C and between 0 and 6 M guanidine deuterium chloride. Stopped-flow fluorescence was used to measure rates below 55°C and NMR lineshape analysis was used above 55°C. The amplitudes and rate profiles of the stopped-flow fluorescence experiments are consistent with a two-state folding mechanism, and plots of ln ( k ) versus guanidine deuterium chloride concentration show the classic v-shape indicative of two-state folding. There is no roll over in the plots when the experiments are repeated in the presence of 400 mM sodium sulfate. Temperature and denaturant effects were fit simultaneously to the simple model k = D exp(−Δ G ‡ / RT ) where Δ G ‡ represents the change in apparent free energy between the transition state and the folded or unfolded state and D represents the maximum possible folding speed. Δ G ‡ is assumed to vary linearly with denaturant concentration and the Gibbs-Helmholtz equation is used to model stability changes with temperature. Approximately 60% of the surface area buried upon folding is buried in the transition state as evidenced by changes in the heat capacity and m value between the unfolded state and the transition state. The equilibrium thermodynamic parameters, Δ C p °, m and Δ G °, all agree with the values calculated from the kinetic experiments, providing additional evidence that folding is two-state. The folding rates at 0 M guanidine hydrochloride show a non-Arrhenius temperature dependence typical of globular proteins. When the folding rates are examined along constant Δ G °/ T contours they display an Arrhenius temperature dependence with a slope of −8600 K. This indicates that for this system, the non-Arrhenius temperature dependence of folding can be accounted for by the anomalous temperature dependence of the interactions which stabilize proteins.

The peripheral subunit-binding domain from the dihydrolipoamide acetyltransferase (E2) component of the pyruvate dehydrogenase multienzyme complex from Bacillus stearothermophilus is stably folded, despite its short sequence of only 43 amino acid residues. A 41 residue peptide derived from this domain, psbd41, undergoes a cooperative thermal unfolding transition with a t m of 54°C. This three-helix protein is monomeric as judged by ultracentrifugation and concentration-dependent CD measurements. Peptides corresponding to the individual helices are largely unstructured both alone and in combination, indicating that the unusual stability of this protein does not arise solely from unusually stable α-helices. Chemical denaturation by guanidine hydrochloride is also cooperative with a Δ G H2O of 3.1 kcal mol −1 at pH 8.0 and 25°C. The chemical denaturation is broad with an m -value of 760 cal mol −1 M −1 . psbd41 contains a buried aspartate residue at position 34 that may provide stability and specificity to the fold. A mutant peptide, psbd41Asn was synthesized in which the buried aspartate residue was mutated to asparagine. This peptide still folds cooperatively and it is monomeric, but is much less thermostable than the wild-type with a t m of only 31°C. Chemical denaturations at 4°C give an m -value of 740 cal mol −1 M −1 , similar to the wild-type, but the stability Δ G H2O is only 1.4 kcal mol −1 . Both the wild-type and the mutant unfold at extremes of pH, but at 4°C psbd41Asn is folded over a narrower pH range than the wild-type. Although the mutant unfolds cooperatively by thermal and by chemical denaturation, its NMR spectrum is significantly broader than that of the wild-type and it binds ANS. These results show that Asp34 is vital for the stability and specificity of this structure, the second smallest natural sequence known to fold in the absence of disulfide bonds or metal or ligand-binding sites.

B. stearothermophilus Tryptophanyl-tRNA synthetase (TrpRS) uses different conformational states to catalyze tryptophan activation. A single Mg2+ ion increases transition state stabilization by −6.5 kcal/mol for optimal catalysis. Catalytic assist occurs if, and only if, the Mg2+ interacts with the protein. We are trying to identify the metal-protein interactions that produce this catalytic effect. Physical interactions between Mg2+ and TrpRS are mediated indirectly via active-site lysines K111, K192 and K195. Mutations of these lysines showed that they all stabilize the transition state. However, their interactions with the Mg2+ significantly reduce their catalytic effects. Catalytically productive interactions between TrpRS and the Mg2+ ion must therefore arise from outside the active site. We identified a core set of residues we call the D1 switch because they move during the catalytic conformational transition. The D1 switch lies at the corner of the N-terminal s-α-s crossover distal to the active site. It is highly conserved in Rossmannoid proteins. The Rosetta Design program suggested that mutations of D1 residues could ‘‘hyperstabilize’’ the activated state observed just prior to catalysis. Multimutant thermodynamic cycles together with substitution of Mn2+ for Mg2+ and [ATP]-dependent Michaelis-Menten kinetics demonstrate significant long-range synergistic coupling between the D1 switch and the Mg2+ ion. Thus, long-range interactions to the metal likely drive catalysis indirectly, by changing an inactive Mg2+ coordination into one that can stabilize the transition state. In this way transition-state stabilization by Mg2+ occurs if, and only if, conformational changes reposition it. We suggest that other NTPase enzymes may use similar conditional activation of Mg2+ to couple catalyzed hydrolysis of their purine triphosphate substrates to conformational changes, thereby transducing chemical free energy for cellular work and signaling. Supported by NIGMS 78227, 90406.

In this section we have assembled a set of reviews that focus on the design of proteins and peptides with new molecular recognition capabilities. These include proteins that promote crystallization of target proteins, peptides useful for creating nanoelectronic circuits, peptide therapeutics, and switchable enzymes that respond to novel molecular inputs. Allosteric modulation of enzyme activity is typically rapid and reversible and is used to create positive and negative feedback loops in cellular signaling networks. Marc Ostermeier reviews progress in the engineering of switchable enzymes that respond to new signaling inputs. One common strategy is to fuse a catalytic domain with a binding domain that changes conformation when bound to a target ligand. The conformational change can be used to disrupt or assemble the active site as well as relieve steric inhibition of activity. Circular permutation of the host protein allows for a variety of fusion sites, for which the best sites can be identified computationally or with high-throughput screening. There is considerable interest in the design of new switches because they can be used to probe interaction dependencies and kinetics in signaling cascades. Shohei Koide describes recent progress in engineering crystallization chaperones. These are proteins that bind to specified target molecules and promote crystal formation by reducing conformational heterogeneity of the target and providing extra surface area for crystal contact formation. They can also increase or decrease the solubility of the target protein as needed. Fragments of monoclonal antibodies were among the first proteins used as crystallization chaperones and have been used to help solve structures of several important membrane proteins. However, monoclonal antibodies are slow to create and their production at a milligram scale is expensive. Koide describes several newer strategies that do not require animal immunization, but rather use molecular display technologies to identify proteins that bind tightly to the crystallization target. One advantage of this approach is that it can be used with a variety of protein scaffolds, including single chain antibodies, ankyrin repeat proteins, and fibronectin domains. This approach has been used to crystallize the full-length form of the potassium channel KcsA as well as wild-type Polo-like kinase 1. One important drawback of the chaperone approach is that it requires the production of a new chaperone for each target, for this reason, this technology will in general be reserved for high impact targets. Protein design tests our understanding of protein structure and stability. This is particularly true of computer-based studies that use physical models of protein energetics to predict amino acid sequences that will form predetermined structures, complexes or binding sites. John Karanicolas and Brian Kuhlman review recent progress in computational design of protein–protein interactions. They focus on strategies developed for enhancing the affinity of naturally occurring interactions and redesigning protein binding specificities. Particularly exciting is progress in the use of explicit negative design to create sequences that bind to specific targets within large protein families. There is considerable interest in designing proteins that adopt specific conformations when embedded in a membrane. Critical to such efforts is a good understanding of the factors that determine the forces and sequence features that dictate the insertion of transmembrane helices into membranes. Erwin London and Khurshida Shahidullah review studies that probe the relationship between sequence and helix topography in membranes. These include the effects of overall hydrophobicity, helix length, polar residue placement, and the role of flanker sequences. They demonstrate that there is a remarkable similarity between the conclusions from experiments involving the translocon-mediated insertion of model peptides and biophysical studies of fully synthetic peptides in model membranes. These findings suggest that the interaction of potential TM segments with the lipid bilayer during their residence in the translocon, or possibly that the environment experienced by a helix in the pore of the translocon is similar to that of a phospholipid bilayer. Irrespective of the precise mechanism, this paper provides a lucid overview of the features that must be considered in designing and predicting transmembrane helices. Fred Naider and Jacob Anglister describe how structural biology studies have directed the design of peptides that bind to the HIV-1 envelope protein gp41 and inhibit fusion of the virus to target cells. One of these peptides is currently used in the clinic in cases where patients have developed resistance to more standard cocktails of protease and transcriptase inhibitors. This paper provides a particularly interesting analysis of the role of structural, thermodynamic, and kinetic studies in the design and analysis of inhibitors of gp41, and also in devising strategies to combat the growing problem of resistance to this class of pharmaceutical agents. In addition to being useful as regulators of biological systems, peptides can be engineered to form novel materials. Robert Fairman and Brian Pepe-Mooney examine recent progress toward creating nanocircuits based on peptides. They describe new strategies for depositing peptides on surfaces and methods for attaching cofactors that can be used to generate new electronic properties.