Structural basis of affinity maturation and intramolecular cooperativity in a protein-protein interaction

Although protein-protein interactions are involved in nearly all cellular processes, general rules for describing affinity and selectivity in protein-protein complexes are lacking, primarily because correlations between changes in protein structure and binding energetics have not been well determined. Here, we establish the structural basis of affinity maturation for a protein-protein interaction system that we had previously characterized energetically. This model system exhibits a 1500-fold affinity increase. Also, its affinity maturation is restricted by negative intramolecular cooperativity. With three complex and six unliganded variant X-ray crystal structures, we provide molecular snapshots of protein interface remodeling events that span the breadth of the affinity maturation process and present a comprehensive structural view of affinity maturation. Correlating crystallographically observed structural changes with measured energetic changes reveals molecular bases for affinity maturation, intramolecular cooperativity, and context-dependent binding.     

Structural,energetic, and functional analysis of a protein-protein interface at distinct stages of affinity maturation

Due to a paucity of studies that synthesize structural, energetic, and functional analyses of a series of protein complexes representing distinct stages in an affinity maturation pathway, the biophysical basis for the molecular evolution of protein-protein interactions is poorly understood. Here, we combine crystal structures and binding-free energies of a series of variant superantigen (SAG)-major histocompatibility complex (MHC) class II complexes exhibiting increasingly higher affinity to reveal that this affinity maturation pathway is controlled largely by two biophysical factors: shape complementarity and buried hydrophobic surface. These factors, however, do not contribute equivalently to the affinity maturation of the interface, as the former dominates the early steps of the maturation process while the latter is responsible for improved binding in later steps. Functional assays reveal how affinity maturation of the SAG-MHC interface corresponds to T cell activation by SAGs.     

Tracking Molecular Recognition at the Atomic Level with a New Protein Scaffold Based on the OB-Fold

The OB-fold is a small, versatile single-domain protein binding module that occurs in all forms of life, where it binds protein, carbohydrate, nucleic acid and small-molecule ligands. We have exploited this natural plasticity to engineer a new class of non-immunoglobulin alternatives to antibodies with unique structural and biophysical characteristics. We present here the engineering of the OB-fold anticodon recognition domain from aspartyl tRNA synthetase taken from the thermophile Pyrobaculum aerophilum. For this single-domain scaffold we have coined the term OBody. Starting from a naïve combinatorial library, we engineered an OBody with 3 nM affinity for hen egg-white lysozyme, by optimising the affinity of a naïve OBody 11,700-fold over several affinity maturation steps, using phage display. At each maturation step a crystal structure of the engineered OBody in complex with hen egg-white lysozyme was determined, showing binding elements in atomic detail. These structures have given us an unprecedented insight into the directed evolution of affinity for a single antigen on the molecular scale. The engineered OBodies retain the high thermal stability of the parental OB-fold despite mutation of up to 22% of their residues. They can be expressed in soluble form and also purified from bacteria at high yields. They also lack disulfide bonds. These data demonstrate the potential of OBodies as a new scaffold for the engineering of specific binding reagents and provide a platform for further development of future OBody-based applications.     

Structure-based rational design of a Toll-like receptor 4 (TLR4) decoy receptor with high binding affinity for a target protein

Repeat proteins are increasingly attracting much attention as alternative scaffolds to immunoglobulin antibodies due to their unique structural features. Nonetheless, engineering interaction interface and understanding molecular basis for affinity maturation of repeat proteins still remain a challenge. Here, we present a structure-based rational design of a repeat protein with high binding affinity for a target protein. As a model repeat protein, a Toll-like receptor4 (TLR4) decoy receptor composed of leucine-rich repeat (LRR) modules was used, and its interaction interface was rationally engineered to increase the binding affinity for myeloid differentiation protein 2 (MD2). Based on the complex crystal structure of the decoy receptor with MD2, we first designed single amino acid substitutions in the decoy receptor, and obtained three variants showing a binding affinity (K(D)) one-order of magnitude higher than the wild-type decoy receptor. The interacting modes and contributions of individual residues were elucidated by analyzing the crystal structures of the single variants. To further increase the binding affinity, single positive mutations were combined, and two double mutants were shown to have about 3000- and 565-fold higher binding affinities than the wild-type decoy receptor. Molecular dynamics simulations and energetic analysis indicate that an additive effect by two mutations occurring at nearby modules was the major contributor to the remarkable increase in the binding affinities.     

Computational Design of a Protein-Based Enzyme Inhibitor

While there has been considerable progress in designing protein–protein interactions, the design of proteins that bind polar surfaces is an unmet challenge. We describe the computational design of a protein that binds the acidic active site of hen egg lysozyme and inhibits the enzyme. The design process starts with two polar amino acids that fit deep into the enzyme active site, identifies a protein scaffold that supports these residues and is complementary in shape to the lysozyme active-site region, and finally optimizes the surrounding contact surface for high-affinity binding. Following affinity maturation, a protein designed using this method bound lysozyme with low nanomolar affinity, and a combination of NMR studies, crystallography, and knockout mutagenesis confirmed the designed binding surface and orientation. Saturation mutagenesis with selection and deep sequencing demonstrated that specific designed interactions extending well beyond the centrally grafted polar residues are critical for high-affinity binding.     

Femtomolar Fab binding affinities to a protein target by alternative CDR residue co-optimization strategies without phage or cell surface display

In therapeutic or diagnostic antibody discovery, affinity maturation is frequently required to optimize binding properties. In some cases, achieving very high affinity is challenging using the display-based optimization technologies. Here we present an approach that begins with the creation and clonal, quantitative analysis of soluble Fab libraries with complete diversification in adjacent residue pairs encompassing every complementarity-determining region position. This was followed by alternative recombination approaches and high throughput screening to co-optimize large sets of the found improving mutations. We applied this approach to the affinity maturation of the anti-tumor necrosis factor antibody adalimumab and achieved ~500-fold affinity improvement, resulting in femtomolar binding. To our knowledge, this is the first report of the in vitro engineering of a femtomolar affinity antibody against a protein target without display screening. We compare our findings to a previous report that employed extensive mutagenesis and recombination libraries with yeast display screening. The present approach is widely applicable to the most challenging of affinity maturation efforts.     

Femtomolar Fab binding affinities to a protein target by alternative CDR residue co-optimization strategies without phage or cell surface display

In therapeutic or diagnostic antibody discovery, affinity maturation is frequently required to optimize binding properties. In some cases, achieving very high affinity is challenging using the display-based optimization technologies. Here we present an approach that begins with the creation and clonal, quantitative analysis of soluble Fab libraries with complete diversification in adjacent residue pairs encompassing every complementarity-determining region position. This was followed by alternative recombination approaches and high throughput screening to co-optimize large sets of the found improving mutations. We applied this approach to the affinity maturation of the anti-tumor necrosis factor antibody adalimumab and achieved ~500-fold affinity improvement, resulting in femtomolar binding. To our knowledge, this is the first report of the in vitro engineering of a femtomolar affinity antibody against a protein target without display screening. We compare our findings to a previous report that employed extensive mutagenesis and recombination libraries with yeast display screening. The present approach is widely applicable to the most challenging of affinity maturation efforts.     

Computational Assessment of Protein–protein Binding Affinity by Reversely Engineering the Energetics in Protein Complexes

The cellular functions of proteins are maintained by forming diverse complexes. The stability of these complexes is quantified by the measurement of binding affinity, and mutations that alter the binding affinity can cause various diseases such as cancer and diabetes. As a result, accurate estimation of the binding stability and the effects of mutations on changes of binding affinity is a crucial step to understanding the biological functions of proteins and their dysfunctional consequences. It has been hypothesized that the stability of a protein complex is dependent not only on the residues at its binding interface by pairwise interactions but also on all other remaining residues that do not appear at the binding interface. Here, we computationally reconstruct the binding affinity by decomposing it into the contributions of interfacial residues and other non-interfacial residues in a protein complex. We further assume that the contributions of both interfacial and non-interfacial residues to the binding affinity depend on their local structural environments such as solvent-accessible surfaces and secondary structural types. The weights of all corresponding parameters are optimized by Monte-Carlo simulations. After cross-validation against a large-scale dataset, we show that the model not only shows a strong correlation between the absolute values of the experimental and calculated binding affinities, but can also be an effective approach to predict the relative changes of binding affinity from mutations. Moreover, we have found that the optimized weights of many parameters can capture the first-principle chemical and physical features of molecular recognition, therefore reversely engineering the energetics of protein complexes. These results suggest that our method can serve as a useful addition to current computational approaches for predicting binding affinity and understanding the molecular mechanism of protein–protein interactions.     

X-ray snapshots of the maturation of an antibody response to a protein antigen

The process whereby the immune system generates antibodies of higher affinities during a response to antigen (affinity maturation) is a prototypical example of molecular evolution. Earlier studies have been confined to antibodies specific for small molecules (haptens) rather than for proteins. We compare the structures of four antibodies bound to the same site on hen egg white lysozyme (HEL) at different stages of affinity maturation. These X-ray snapshots reveal that binding is enhanced, not through the formation of additional hydrogen bonds or van der Waals contacts or by an increase in total buried surface, but by burial of increasing amounts of apolar surface at the expense of polar surface, accompanied by improved shape complementarity. The increase in hydrophobic interactions results from highly correlated rearrangements in antibody residues at the interface periphery, adjacent to the central energetic hot spot. This first visualization of the maturation of antibodies to protein provides insights into the evolution of high affinity in other protein-protein interfaces.     

Metallo-GTPase HypB from Helicobacter pylori and its interaction with nickel chaperone protein HypA

The maturation of [NiFe]-hydrogenase is highly dependent on a battery of chaperone proteins. Among these, HypA and HypB were proposed to exert nickel delivery functions in the metallocenter assembly process, although the detailed mechanism remains unclear. Herein, we have overexpressed and purified wild-type HypB as well as two mutants, K168A and M186L/F190V, from Helicobacter pylori. We demonstrated that all proteins bind Ni(2+) at a stoichiometry of one Ni(2+) per monomer of the proteins with dissociation constants at micromolar levels. Ni(2+) elevated GTPase activity of WT HypB, which is attributable to a lower affinity of the protein toward GDP as well as Ni(2+)-induced dimerization. The disruption of GTP-dependent dimerization has led to GTPase activities of both mutants in apo-forms almost completely abolished, compared with the wild-type protein. The GTPase activity is partially restored for HypB(M186L/F190V) mutant but not for HypB(K168A) mutant upon Ni(2+) binding. HypB forms a complex with its partner protein HypA with a low affinity (K(d) of 52.2 ± 8.8 μM). Such interactions were also observed in vivo both in the absence and presence of nickel using a GFP-fragment reassembly technique. The putative protein-protein interfaces on H. pylori HypA and HypB proteins were identified by NMR chemical shift perturbation and mutagenesis studies, respectively. Intriguingly, the unique N terminus of H. pylori HypB was identified to participate in the interaction with H. pylori HypA. These structural and functional studies provide insight into the molecular mechanism of Ni(2+) delivery during maturation of [NiFe]-hydrogenase.     

Optimizing the affinity and specificity of proteins with molecular display

Affinity maturation of receptor-ligand interactions represents an important area of academic and pharmaceutical research. Improving affinity and specificity of proteins can tailor potency for both in vivo and in vitro applications. A number of different display platforms including phage display, bacterial and yeast display, ribosome display, and mRNA display can optimize protein affinity and specificity. Here, we will review the advantages and disadvantages of these molecular display methods with a focus on their suitability for protein affinity maturation.     

“Velcro” Engineering of High Affinity CD47 Ectodomain as Signal Regulatory Protein α (SIRPα) Antagonists That Enhance Antibody-dependent Cellular Phagocytosis

CD47 is a cell surface protein that transmits an anti-phagocytic signal, known as the “don''t-eat-me” signal, to macrophages upon engaging its receptor signal regulatory protein α (SIRPα). Molecules that antagonize the CD47-SIRPα interaction by binding to CD47, such as anti-CD47 antibodies and the engineered SIRPα variant CV1, have been shown to facilitate macrophage-mediated anti-tumor responses. However, these strategies targeting CD47 are handicapped by large antigen sinks in vivo and indiscriminate cell binding due to ubiquitous expression of CD47. These factors reduce bioavailability and increase the risk of toxicity. Here, we present an alternative strategy to antagonize the CD47-SIRPα pathway by engineering high affinity CD47 variants that target SIRPα, which has restricted tissue expression. CD47 proved to be refractive to conventional affinity maturation techniques targeting its binding interface with SIRPα. Therefore, we developed a novel engineering approach, whereby we augmented the existing contact interface via N-terminal peptide extension, coined “Velcro” engineering. The high affinity variant (Velcro-CD47) bound to the two most prominent human SIRPα alleles with greatly increased affinity relative to wild-type CD47 and potently antagonized CD47 binding to SIRPα on human macrophages. Velcro-CD47 synergizes with tumor-specific monoclonal antibodies to enhance macrophage phagocytosis of tumor cells in vitro, with similar potency as CV1. Finally, Velcro-CD47 interacts specifically with a subset of myeloid-derived cells in human blood, whereas CV1 binds all myeloid, lymphoid, and erythroid populations interrogated. This is consistent with the restricted expression of SIRPα compared with CD47. Herein, we have demonstrated that “Velcro” engineering is a powerful protein-engineering tool with potential applications to other systems and that Velcro-CD47 could be an alternative adjuvant to CD47-targeting agents for cancer immunotherapy.     

Monitored whole gene in vitro evolution of an anti-hRaf-1 affibody molecule towards increased binding affinity

The use of library technologies for the generation of affinity proteins often includes an affinity maturation step, based on the construction of secondary libraries from which second generation variants with improved affinities are selected. Here, we describe for the first time the affinity maturation of affibody molecules based on step-wise in vitro molecular evolution, involving cycles of error-prone PCR (epPCR) amplification for the introduction of diversity over the entire 58-residue three-helix bundle structure and ribosome display (RD) for the selection of improved variants. The model affibody molecule for the process was Z(RAF322), binding with a 1.9μm equilibrium dissociation constant (K(D)) to human Raf-1 (hRaf-1), a protein kinase of central importance in the MAPK/ERK proliferation pathway. The molecular evolution process was followed on both gene and protein levels via DNA sequencing and a biosensor-based binding analysis of pools of selected variants. After two cycles of diversification and selection, a significant increase in binding response of selected pools was seen. DNA sequencing showed that a dominant alanine to valine substitution had been effectively enriched, and was found in 83% of all selected clones, either alone or in combination with other enriched substitutions. The evolution procedure resulted in variants showing up to 26-fold increases in affinity to the hRaf-1 target. Noteworthy, for the two variants showing the highest affinities, substitutions were also found in affibody framework positions, corresponding to regions of the protein domain not addressed by traditional affibody molecule affinity maturation strategies. Interestingly, thermal melting point (T(m)) analyses showed that an increased affinity could be associated with both higher and lower T(m) values. All investigated variants showed excellent refolding properties and selective binding to hRaf-1, as analysed using a multiplexed bead-based binding assay, making them potentially valuable affinity reagents for cell biology studies.     

Maturation of shark single-domain (IgNAR) antibodies: evidence for induced-fit binding

Sharks express an unusual heavy-chain isotype called IgNAR, whose variable regions bind antigen as independent soluble domains. To further probe affinity maturation of the IgNAR response, we structurally characterized the germline and somatically matured versions of a type II variable (V) region, both in the presence and absence of its antigen, hen egg-white lysozyme. Despite a disulfide bond linking complementarity determining regions (CDRs) 1 and 3, both germline and somatically matured V regions displayed significant structural changes in these CDRs upon complex formation with antigen. Somatic mutations in the IgNAR V region serve to increase the number of contacts with antigen, as reflected by a tenfold increase in affinity, and one of these mutations appears to stabilize the CDR3 region. In addition, a residue in the HV4 loop plays an important role in antibody-antigen interaction, consistent with the high rate of somatic mutations in this non-CDR loop.     

Human Framework Adaptation of a Mouse Anti-Human IL-13 Antibody

Humanization of a potent neutralizing mouse anti-human IL-13 antibody (m836) using a method called human framework adaptation (HFA) is reported. HFA consists of two steps: human framework selection (HFS) and specificity-determining residue optimization (SDRO). The HFS step involved generation of a library of m836 antigen binding sites combined with diverse human germline framework regions (FRs), which were selected based on structural and sequence similarities between mouse variable domains and a repertoire of human antibody germline genes. SDRO consisted of diversifying specificity-determining residues and selecting variants with improved affinity using phage display. HFS of m836 resulted in a 5-fold loss of affinity, whereas SDRO increased the affinity up to 100-fold compared to the HFS antibody. Crystal structures of Fabs in complex with IL-13 were obtained for m836, the HFS variant chosen for SDRO, and one of the highest-affinity SDRO variants. Analysis of the structures revealed that major conformational changes in FR-H1 and FR-H3 occurred after FR replacement, but none of them had an evident direct impact on residues in contact with IL-13. Instead, subtle changes affected the V_L/V_H (variable-light domain/variable-heavy domain) interface and were likely responsible for the 5-fold decreased affinity. After SDRO, increased affinity resulted mainly from rearrangements in hydrogen-bonding pattern at the antibody/antigen interface. Comparison with m836 putative germline genes suggested interesting analogies between natural affinity maturation and the engineering process that led to the potent HFA anti-human IL-13 antibody.     

Multiple functions of aromatic-carbohydrate interactions in a processive cellulase examined with molecular simulation

Proteins employ aromatic residues for carbohydrate binding in a wide range of biological functions. Glycoside hydrolases, which are ubiquitous in nature, typically exhibit tunnels, clefts, or pockets lined with aromatic residues for processing carbohydrates. Mutation of these aromatic residues often results in significant activity differences on insoluble and soluble substrates. However, the thermodynamic basis and molecular level role of these aromatic residues remain unknown. Here, we calculate the relative ligand binding free energy by mutating tryptophans in the Trichoderma reesei family 6 cellulase (Cel6A) to alanine. Removal of aromatic residues near the catalytic site has little impact on the ligand binding free energy, suggesting that aromatic residues immediately upstream of the active site are not directly involved in binding, but play a role in the glucopyranose ring distortion necessary for catalysis. Removal of aromatic residues at the entrance and exit of the Cel6A tunnel, however, dramatically impacts the binding affinity, suggesting that these residues play a role in chain acquisition and product stabilization, respectively. The roles suggested from differences in binding affinity are confirmed by molecular dynamics and normal mode analysis. Surprisingly, our results illustrate that aromatic-carbohydrate interactions vary dramatically depending on the position in the enzyme tunnel. As aromatic-carbohydrate interactions are present in all carbohydrate-active enzymes, these results have implications for understanding protein structure-function relationships in carbohydrate metabolism and recognition, carbon turnover in nature, and protein engineering strategies for biomass utilization. Generally, these results suggest that nature employs aromatic-carbohydrate interactions with a wide range of binding affinities for diverse functions.     

Staphylococcal display for combinatorial protein engineering of a head-to-tail affibody dimer binding the Alzheimer amyloid-β peptide

We have previously generated an affibody molecule for the disease-associated amyloid beta (Aβ) peptide, which has been shown to inhibit the formation of various Aβ aggregates and revert the neurotoxicity of Aβ in a fruit fly model of Alzheimer's disease. In this study, we have investigated a new bacterial display system for combinatorial protein engineering of the Aβ-binder as a head-to-tail dimeric construct for future optimization efforts, e.g. affinity maturation. Using the bacterial display platform, we have: (i) demonstrated functional expression of the dimeric binder on the cell surface, (ii) determined the affinity and investigated the pH sensitivity of the interaction, (iii) demonstrated the importance of an intramolecular disulfide bond through selections from a cell-displayed combinatorial library, as well as (iv) investigated the effects from rational truncation of the N-terminal part of the affibody molecule on surface expression level and Aβ binding. Overall, the detailed engineering and characterization of this promising Aβ-specific affibody molecule have yielded valuable insights concerning its unusual binding mechanism. The results also demonstrated that our bacterial display system is a suitable technology for future protein engineering and characterization efforts of homo- or heterodimeric affinity proteins.     

Single-step affinity purification of recombinant proteins using a self-excising module from Neisseria meningitidis FrpC

Purification of recombinant proteins is often a challenging process involving several chromatographic steps that must be optimized for each target protein. Here, we developed a self-excising module allowing single-step affinity chromatography purification of untagged recombinant proteins. It consists of a 250-residue-long self-processing module of the Neisseria meningitidis FrpC protein with a C-terminal affinity tag. The N terminus of the module is fused to the C terminus of a target protein of interest. Upon binding of the fusion protein to an affinity matrix from cell lysate and washing out contaminating proteins, site-specific cleavage of the Asp-Pro bond linking the target protein to the self-excising module is induced by calcium ions. This results in the release of the target protein with only a single aspartic acid residue added at the C terminus, while the self-excising affinity module remains trapped on the affinity matrix. The system was successfully tested with several target proteins, including glutathione-S-transferase, maltose-binding protein, beta-galactosidase, chloramphenicol acetyltransferase, and adenylate cyclase, and two different affinity tags, chitin-binding domain or poly-His. Moreover, it was demonstrated that it can be applied as an alternative to two currently existing systems, based on the self-splicing intein of Saccharomyces cerevisiae and sortase A of Staphylococcus aureus.     

Tumor angiogenic endothelial cell targeting by a novel integrin-targeted nanoparticle

Angiogenesis is an important process in cancer growth and metastasis. During the tumor angiogenic process, endothelial cells express various cell surface receptors which can be utilized for molecular imaging and targeted drug delivery. One such protein receptor of interest is the integrin alphav beta3. Our group is involved in the development of molecular imaging probes and drug delivery systems targeting alphav beta3. Based on extensive lead optimization study with the integrin antagonist compounds, we have developed a new generation of integrin alphav beta3 compound (IA) which has superior binding affinity to alphav beta3. Utilizing this IA as a targeting agent, we have developed a novel integrin-targeted nanoparticle (ITNP) system for targ alphav beta3 was observed. These ITNPs also were rapidly taken up by cells that express alphav beta3. The ITNPs accumulated in the angiogenic vessels, after systemic administration in a murine squamous cell carcinoma model. This novel intergrin targeted ITNP platform will likely have an application in targeted delivery of drugs and genes in vivo and can also be used for molecular imaging.     

PURE ribosome display and its application in antibody technology

Ribosome display utilizes formation of the mRNA–ribosome–polypeptide ternary complex in a cell-free protein synthesis system to link genotype (mRNA) to phenotype (polypeptide). However, the presence of intrinsic components, such as nucleases in the cell-extract-based cell-free protein synthesis system, reduces the stability of the ternary complex, which would prevent attainment of reliable results. We have developed an efficient and highly controllable ribosome display system using the PURE (Protein synthesis Using Recombinant Elements) system. The mRNA–ribosome–polypeptide ternary complex is highly stable in the PURE system, and the selected mRNA can be easily recovered because activities of nucleases and other inhibitory factors are very low in the PURE system. We have applied the PURE ribosome display to antibody engineering approaches, such as epitope mapping and affinity maturation of antibodies, and obtained results showing that the PURE ribosome display is more efficient than the conventional method. We believe that the PURE ribosome display can contribute to the development of useful antibodies. This article is part of a Special Issue entitled: Recent advances in molecular engineering of antibody.