Effective binding to protein antigens by antibodies from antibody libraries designed with enhanced protein recognition propensities

Antibodies provide immune protection by recognizing antigens of diverse chemical properties, but elucidating the amino acid sequence-function relationships underlying the specificity and affinity of antibody-antigen interactions remains challenging. We designed and constructed phage-displayed synthetic antibody libraries with enriched protein antigen-recognition propensities calculated with machine learning predictors, which indicated that the designed single-chain variable fragment variants were encoded with enhanced distributions of complementarity-determining region (CDR) hot spot residues with high protein antigen recognition propensities in comparison with those in the human antibody germline sequences. Antibodies derived directly from the synthetic antibody libraries, without affinity maturation cycles comparable to those in in vivo immune systems, bound to the corresponding protein antigen through diverse conformational or linear epitopes with specificity and affinity comparable to those of the affinity-matured antibodies from in vivo immune systems. The results indicated that more densely populated CDR hot spot residues were sustainable by the antibody structural frameworks and could be accompanied by enhanced functionalities in recognizing protein antigens. Our study results suggest that synthetic antibody libraries, which are not limited by the sequences found in antibodies in nature, could be designed with the guidance of the computational machine learning algorithms that are programmed to predict interaction propensities to molecules of diverse chemical properties, leading to antibodies with optimal characteristics pertinent to their medical applications.     

PCRPi: Presaging Critical Residues in Protein interfaces,a new computational tool to chart hot spots in protein interfaces

Protein–protein interactions (PPIs) are ubiquitous in Biology, and thus offer an enormous potential for the discovery of novel therapeutics. Although protein interfaces are large and lack defining physiochemical traits, is well established that only a small portion of interface residues, the so-called hot spot residues, contribute the most to the binding energy of the protein complex. Moreover, recent successes in development of novel drugs aimed at disrupting PPIs rely on targeting such residues. Experimental methods for describing critical residues are lengthy and costly; therefore, there is a need for computational tools that can complement experimental efforts. Here, we describe a new computational approach to predict hot spot residues in protein interfaces. The method, called Presaging Critical Residues in Protein interfaces (PCRPi), depends on the integration of diverse metrics into a unique probabilistic measure by using Bayesian Networks. We have benchmarked our method using a large set of experimentally verified hot spot residues and on a blind prediction on the protein complex formed by HRAS protein and a single domain antibody. Under both scenarios, PCRPi delivered consistent and accurate predictions. Finally, PCRPi is able to handle cases where some of the input data is either missing or not reliable (e.g. evolutionary information).     

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.     

Monte Carlo simulations of the peptide recognition at the consensus binding site of the constant fragment of human immunoglobulin G: the energy landscape analysis of a hot spot at the intermolecular interface

Monte Carlo simulations of molecular recognition at the consensus binding site of the constant fragment (Fc) of human immunoglobulin G (Ig) protein have been performed to analyze structural and thermodynamic aspects of binding for the 13-residue cyclic peptide DCAWHLGELVWCT. The energy landscape analysis of a hot spot at the intermolecular interface using alanine scanning and equilibrium-simulated tempering dynamics with the simplified, knowledge-based energy function has enabled the role of the protein hot spot residues in providing the thermodynamic stability of the native structure to be determined. We have found that hydrophobic interactions between the peptide and the Met-252, Ile-253, His-433, and His-435 protein residues are critical to guarantee the thermodynamic stability of the crystallographic binding mode of the complex. Binding free energy calculations, using a molecular mechanics force field and a solvation energy model, combined with alanine scanning have been conducted to determine the energetic contribution of the protein hot spot residues in binding affinity. The conserved Asn-434, Ser-254, and Tyr-436 protein residues contribute significantly to the binding affinity of the peptide-protein complex, serving as an energetic hot spot at the intermolecular interface. The results suggest that evolutionary conserved hot spot protein residues at the intermolecular interface may be partitioned in fulfilling thermodynamic stability of the native binding mode and contributing to the binding affinity of the complex.     

The functional binding epitope of a high affinity variant of human growth hormone mapped by shotgun alanine-scanning mutagenesis: insights into the mechanisms responsible for improved affinity

A high-affinity variant of human growth hormone (hGH(v)) contains 15 mutations within site 1 and binds to the hGH receptor (hGHR) approximately 400-fold tighter than does wild-type (wt) hGH (hGH(wt)). We used shotgun scanning combinatorial mutagenesis to dissect the energetic contributions of individual residues within the hGH(v) binding epitope and placed them in context with previously determined structural information. In all, the effects of alanine substitutions were determined for 35 hGH(v) residues that are directly contained in or closely border the binding interface. We found that the distribution of binding energy in the functional epitope of hGH(v) differs significantly from that of hGH(wt). The residues that contributed the majority of the binding energy in the wt interaction (the so-called binding "hot spot") remain important, but their contributions are attenuated in the hGH(v) interaction, and additional binding energy is acquired from residues on the periphery of the original hotspot. Many interactions that inhibited the binding of hGH(wt) are replaced by interactions that make positive contributions to the binding of hGH(v). These changes produce an expanded and diffused hot spot in which improved affinity results from numerous small contributions distributed broadly over the interface. The mutagenesis results are consistent with previous structural studies, which revealed widespread structural differences between the wt and variant hormone-receptor interfaces. Thus, it appears that the improved binding affinity of hGH(v) site 1 was not achieved through minor adjustments to the wt interface, but rather, results from a wholesale reconfiguration of many of the original binding elements.     

The intrinsic contributions of tyrosine, serine, glycine and arginine to the affinity and specificity of antibodies

Synthetic antibody libraries with restricted chemical diversity were used to explore the intrinsic contributions of four amino acids (Tyr, Ser, Gly and Arg) to the affinity and specificity of antigen recognition. There was no correlation between nonspecific binding and the content of Tyr, Ser or Gly in the antigen-binding site, and in fact, the most specific antibodies were those with the highest Tyr content. In contrast, Arg content was clearly correlated with increased nonspecific binding. We combined Tyr, Ser and Gly to generate highly specific synthetic antibodies with affinities in the subnanomolar range, showing that the high abundance of Tyr, Ser and Gly in natural antibody germ line sequences reflects the intrinsic capacity of these residues to work together to mediate antigen recognition. Despite being a major functional contributor to co-evolved protein-protein interfaces, we find that Arg does not contribute generally to the affinity of naïve antigen-binding sites and is detrimental to specificity. Again, this is consistent with studies of natural antibodies, which have shown that nonspecific, self-reactive antibodies are rich in Arg and other positively charged residues. Our findings suggest that the principles governing naïve molecular recognition differ from those governing co-evolved interactions. Analogous studies can be designed to explore the roles of the other amino acids in molecular recognition. Results of such studies should illuminate the basic principles underlying natural protein-protein interactions and should aid the design of synthetic binding proteins with functions beyond the scope of natural proteins.     

An antibody single-domain phage display library of a native heavy chain variable region: isolation of functional single-domain VH molecules with a unique interface.

To develop very small antibody-derived recognition units for experimental, medical, and drug design purposes, a heavy chain variable region (VH) single-domain phage-display library was designed and constructed. The scaffold that was used for library construction was a native sequence of a monoclonal antibody with a unique VH/VL interface. There was no need to modify any residues in the VL interface to avoid non-specific binding of VH domain. The library repertoire, consisting of 4x10(8)independent clones, was generated by the randomization of nine amino acid residues in complementary determining region 3. The library was screened by binding to protein antigens, and individual clones were isolated. The VH genes encoding for specific binding clones were rescued and large amounts of soluble and stable single-domain VH protein were made from insoluble inclusion bodies by in vitro refolding and purification. Biochemical and biophysical characterization of the VH protein revealed a highly specific, correctly folded, and stable monomeric molecule. Binding studies demonstrated an affinity of 20 nM. The properties of these molecules make them attractive for clinical, industrial, and research applications, as well as a step toward improvement in the design of small molecules that are based on the hypervariable loops of antibodies.     

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.     

SnugDock: Paratope Structural Optimization during Antibody-Antigen Docking Compensates for Errors in Antibody Homology Models

High resolution structures of antibody-antigen complexes are useful for analyzing the binding interface and to make rational choices for antibody engineering. When a crystallographic structure of a complex is unavailable, the structure must be predicted using computational tools. In this work, we illustrate a novel approach, named SnugDock, to predict high-resolution antibody-antigen complex structures by simultaneously structurally optimizing the antibody-antigen rigid-body positions, the relative orientation of the antibody light and heavy chains, and the conformations of the six complementarity determining region loops. This approach is especially useful when the crystal structure of the antibody is not available, requiring allowances for inaccuracies in an antibody homology model which would otherwise frustrate rigid-backbone docking predictions. Local docking using SnugDock with the lowest-energy RosettaAntibody homology model produced more accurate predictions than standard rigid-body docking. SnugDock can be combined with ensemble docking to mimic conformer selection and induced fit resulting in increased sampling of diverse antibody conformations. The combined algorithm produced four medium (Critical Assessment of PRediction of Interactions-CAPRI rating) and seven acceptable lowest-interface-energy predictions in a test set of fifteen complexes. Structural analysis shows that diverse paratope conformations are sampled, but docked paratope backbones are not necessarily closer to the crystal structure conformations than the starting homology models. The accuracy of SnugDock predictions suggests a new genre of general docking algorithms with flexible binding interfaces targeted towards making homology models useful for further high-resolution predictions.     

Magnitude of the hydrophobic effect at central versus peripheral sites in protein-protein interfaces

Hydrophobic interactions are essential for stabilizing protein-protein complexes, whose interfaces generally consist of a central cluster of hot spot residues surrounded by less important peripheral residues. According to the O-ring hypothesis, a condition for high affinity binding is solvent exclusion from interacting residues. This hypothesis predicts that the hydrophobicity at the center is significantly greater than at the periphery, which we estimated at 21 cal mol(-1) A(-2). To measure the hydrophobicity at the center, structures of an antigen-antibody complex where a buried phenylalanine was replaced by smaller hydrophobic residues were determined. By correlating structural changes with binding free energies, we estimate the hydrophobicity at this central site to be 46 cal mol(-1) A(-2), twice that at the periphery. This context dependence of the hydrophobic effect explains the clustering of hot spots at interface centers and has implications for hot spot prediction and the design of small molecule inhibitors.     

A Combinatorial Histidine Scanning Library Approach to Engineer Highly pH-Dependent Protein Switches

There is growing interest in the development of protein switches, which are proteins whose function, such as binding a target molecule, can be modulated through environmental triggers. Efforts to engineer highly pH sensitive protein–protein interactions typically rely on the rational introduction of ionizable groups in the protein interface. Such experiments are typically time intensive and often sacrifice the protein's affinity at the permissive pH. The underlying thermodynamics of proton‐linkage dictate that the presence of multiple ionizable groups, which undergo a pK_a change on protein binding, are necessary to result in highly pH‐dependent binding. To test this hypothesis, a novel combinatorial histidine library was developed where every possible combination of histidine and wild‐type residue is sampled throughout the interface of a model anti‐RNase A single domain VHH antibody. Antibodies were coselected for high‐affinity binding and pH‐sensitivity using an in vitro, dual‐function selection strategy. The resulting antibodies retained near wild‐type affinity yet became highly sensitive to small decreases in pH, drastically decreasing their binding affinity, due to the incorporation of multiple histidine groups. Several trends were observed, such as histidine “hot‐spots,” which will help enhance the development of pH switch proteins as well as increase our understanding of the role of ionizable residues in protein interfaces. Overall, the combinatorial approach is rapid, general, and robust and should be capable of producing highly pH‐sensitive protein affinity reagents for a number of different applications.     

Tyrosine plays a dominant functional role in the paratope of a synthetic antibody derived from a four amino acid code

The antigen-binding fragment Fab-YADS2 recognizes vascular endothelial growth factor (VEGF) and was derived from a library with chemical diversity restricted to only four amino acids (Tyr, Ser, Ala and Asp). The structure of the Fab:antigen complex revealed that the structural paratope is dominated by Tyr side-chains. Isothermal titration calorimetry and cell-based assays show that restricted chemical diversity does not limit the affinity or specificity of Fab-YADS2, which behaves in a manner comparable to natural antibodies. Mutagenesis experiments reveal that the functional paratope is dominated by Tyr, which represents 11 of the 15 functionally important residues. However, mutagenesis experiments also indicate that substitution of any of these tyrosine residues by Phe does not significantly affect binding to VEGF. Furthermore, saturation mutagenesis shows that replacement of three functionally important tyrosine residues by combinations of other hydrophobic residues is not only tolerated, but can actually improve affinity. The results support a model for na?ve antigen recognition in which large Tyr side-chains establish binding contacts with antigen, and small Ser and Ala side-chains serve as auxiliaries that help to position Tyr in favorable binding conformations. While Tyr may not be optimal for any particular antigen contact, it is nonetheless capable of mediating favorable interactions with a diverse array of surfaces. Furthermore, the side-chain hydroxyl group makes Tyr significantly more hydrophilic than Phe and other hydrophobic amino acids. Increased hydrophilicity may reduce non-specific binding in the unbound state, and this may be critical for a na?ve repertoire that is exposed to a diverse range of potential antigenic surfaces. The results show that the chemical nature of Tyr endows the amino acid with a privileged role in antigen recognition, and this likely explains the high abundance of Tyr in natural antigen-binding sites.     

Protein subunit interfaces: a statistical analysis of hot spots in Sm proteins

The distinguishing property of Sm protein associations is very high stability. In order to understand this property, we analyzed the interfaces and compared the properties of Sm protein interfaces with those of a test set, the Binding Interface Database (BID). The comparison revealed that the main differences between the interfaces of Sm proteins and those of the BID set are the content of charged residues, the coordination numbers of the residues, knowledge-based pair potentials, and the conservation scores of hot spots. In Sm proteins, the interfaces have more hydrophobic and fewer charged residues than the surfaces, which is also the case for the BID test set and other proteins. However, in the interfaces, the content of charged residues in Sm proteins (26%) is substantially larger than that in the BID set (22%). Hot spots are residues that make up a small fraction of the interfaces, but they contribute most of the binding energy. These residues are critical to protein–protein interactions. Analyses of knowledge-based pair potentials of hot spot and non-hot spot residues in Sm proteins show that they are significantly different; their mean values are 31.5 and 11.3, respectively. In the BID set, this difference is smaller; in this case, the mean values for hot spot and non-hot spot residues are 20.7 and 12.4, respectively. Hence, the pair potentials of hot spots differ significantly for the Sm and BID data sets. In the interfaces of Sm proteins, the amino acids are tightly packed, and the coordination numbers are larger in Sm proteins than in the BID set for both hot spots and non-hot spots. At the same time, the coordination numbers are higher for hot spots; the average coordination number of the hot spot residues in Sm proteins is 7.7, while it is 6.1 for the non-hot spot residues. The difference in the calculated average conservation score for hot spots and non-hot spots in Sm proteins is significantly larger than it is in the BID set. In Sm proteins, the average conservation score for the hot spots is 7.4. Hot spots are surrounded by residues that are moderately conserved (5.9). The average conservation score for the other interface residues is 5.6. The conservation scores in the BID set do not show a significant distinction between hot and non-hot spots: the mean values for hot and non-hot spot residues are 5.5 and 5.2, respectively. These data show that structurally conserved residues and hot spots are significantly correlated in Sm proteins.     

Structure of IL-17A in Complex with a Potent, Fully Human Neutralizing Antibody

IL-17A is a pro-inflammatory cytokine produced by the newly identified Th17 subset of T-cells. We have isolated a human monoclonal antibody to IL-17A (CAT-2200) that can potently neutralize the effects of recombinant and native human IL-17A. We determined the crystal structure of IL-17A in complex with the CAT-2200 Fab at 2.6 Å resolution in order to provide a definitive characterization of the epitope and paratope regions. Approximately a third of the IL-17A dimer is disordered in this crystal structure. The disorder occurs in both independent copies of the complex in the asymmetric unit and does not appear to be influenced by crystal packing. The complex contains one IL-17A dimer sandwiched between two CAT-2200 Fab fragments. The IL-17A is a disulfide-linked homodimer that is similar in structure to IL-17F, adopting a cystine-knot fold. The structure is not inconsistent with the previous prediction of a receptor binding cavity on IL-17 family members. The epitope recognized by CAT-2200 is shown to involve 12 amino acid residues from the quaternary structure of IL-17A, with each Fab contacting both monomers in the dimer. All complementarity-determining regions (CDRs) in the Fab contribute to a total of 16 amino acid residues in the antibody paratope. In vitro affinity optimization was used to generate CAT-2200 from a parental lead antibody using random mutagenesis of CDR3 loops. This resulted in seven amino acid changes (three in VL-CDR3 and four in VH-CDR3) and gave an approximate 30-fold increase in potency in a cell-based neutralization assay. Two of the seven amino acids form part of the CAT-2200 paratope. The observed interaction site between CAT-2200 and IL-17A is consistent with data from hydrogen/deuterium exchange mass spectrometry and mutagenesis approaches.     

Understanding mechanisms governing protein-protein interactions from synthetic binding interfaces

Recent advances in methodologies and design of combinatorial library selection have enabled comprehensive characterization of sequence space for protein-protein interaction interfaces and generation of fully synthetic binding interfaces. By exhaustively introducing and quantitatively analyzing mutations in natural interfaces, new insights into their molecular architecture and plasticity have emerged. Minimalist combinatorial libraries based on a restricted amino acid code have produced synthetic interfaces that rival natural ones using a different set of rules. A two amino acid code composed of just tyrosine and serine in the context of antibody CDR loops is sufficient to produce high affinity and specific interactions with different classes of protein targets. Structural analyses highlight the dominant role of Tyr in forming productive interactions and demonstrate the dominance of conformational diversity over chemical diversity in producing na?ve binding interfaces. Synthetic binding proteins are beginning to be used as a powerful crystallization tool to attack important structural biology problems that are recalcitrant to crystallization using traditional methods.     

An automated decision-tree approach to predicting protein interaction hot spots

Protein-protein interactions can be altered by mutating one or more "hot spots," the subset of residues that account for most of the interface's binding free energy. The identification of hot spots requires a significant experimental effort, highlighting the practical value of hot spot predictions. We present two knowledge-based models that improve the ability to predict hot spots: K-FADE uses shape specificity features calculated by the Fast Atomic Density Evaluation (FADE) program, and K-CON uses biochemical contact features. The combined K-FADE/CON (KFC) model displays better overall predictive accuracy than computational alanine scanning (Robetta-Ala). In addition, because these methods predict different subsets of known hot spots, a large and significant increase in accuracy is achieved by combining KFC and Robetta-Ala. The KFC analysis is applied to the calmodulin (CaM)/smooth muscle myosin light chain kinase (smMLCK) interface, and to the bone morphogenetic protein-2 (BMP-2)/BMP receptor-type I (BMPR-IA) interface. The results indicate a strong correlation between KFC hot spot predictions and mutations that significantly reduce the binding affinity of the interface.     

Antigen specificity and high affinity binding provided by one single loop of a camel single-domain antibody

Detailed knowledge on antibody-antigen recognition is scarce given the unlimited antibody specificities of which only few have been investigated at an atomic level. We report the crystal structures of an antibody fragment derived from a camel heavy chain antibody against carbonic anhydrase, free and in complex with antigen. Surprisingly, this single-domain antibody interacts with nanomolar affinity with the antigen through its third hypervariable loop (19 amino acids long), providing a flat interacting surface of 620 A(2). For the first time, a single-domain antibody is observed with its first hypervariable loop adopting a type-1 canonical structure. The second hypervariable loop, of unique size due to a somatic mutation, reveals a regular beta-turn. The third hypervariable loop covers the remaining hypervariable loops and the side of the domain that normally interacts with the variable domain of the light chain. Specific amino acid substitutions and reoriented side chains reshape this side of the domain and increase its hydrophilicity. Of interest is the substitution of the conserved Trp-103 by Arg because it opens new perspectives to 'humanize' a camel variable domain of heavy chain of heavy chain antibody (VHH) or to 'camelize' a human or a mouse variable domain of heavy chain of conventional antibody (VH).     

Protein-protein interactions; coupling of structurally conserved residues and of hot spots across interfaces. Implications for docking

Hot spot residues contribute dominantly to protein-protein interactions. Statistically, conserved residues correlate with hot spots, and their occurrence can distinguish between binding sites and the remainder of the protein surface. The hot spot and conservation analyses have been carried out on one side of the interface. Here, we show that both experimental hot spots and conserved residues tend to couple across two-chain interfaces. Intriguingly, the local packing density around both hot spots and conserved residues is higher than expected. We further observe a correlation between local packing density and experimental deltadeltaG. Favorable conserved pairs include Gly coupled with aromatics, charged and polar residues, as well as aromatic residue coupling. Remarkably, charged residue couples are underrepresented. Overall, protein-protein interactions appear to consist of regions of high and low packing density, with the hot spots organized in the former. The high local packing density in binding interfaces is reminiscent of protein cores.     

A dominant conformational role for amino acid diversity in minimalist protein-protein interfaces

Recent studies have shown that highly simplified interaction surfaces consisting of combinations of just two amino acids, Tyr and Ser, exhibit high affinity and specificity. The high functional levels of such minimalist interfaces might thus indicate small contributions of greater amino acid diversity seen in natural interfaces. Toward addressing this issue, we have produced a pair of binding proteins built on the fibronectin type III scaffold, termed “monobodies.” One monobody contains the Tyr/Ser binary-code interface (termed YS) and the other contains an expanded amino acid diversity interface (YSX), but both bind to an identical target, maltose-binding protein. The YSX monobody bound with higher affinity, a slower off rate and a more favorable enthalpic contribution than the YS monobody. High-resolution X-ray crystal structures revealed that both proteins bound to an essentially identical epitope, providing a unique opportunity to directly investigate the role of amino acid diversity in a protein interaction interface. Surprisingly, Tyr still dominates the YSX paratope and the additional amino acid types are primarily used to conformationally optimize contacts made by tyrosines. Scanning mutagenesis showed that while all contacting Tyr side chains are essential in the YS monobody, the YSX interface was more tolerant to mutations. These results suggest that the conformational, not chemical, diversity of additional types of amino acids provided higher functionality and evolutionary robustness, supporting the dominant role of Tyr and the importance of conformational diversity in forming protein interaction interfaces.     

A synthetic library for rapid isolation of humanized single-domain antibodies

Relative to conventional full-length immunoglobulin G (IgG) antibodies and antibody fragments, single-domain antibodies, derived from the antigen-binding domain of the immunoglobulin of camelid species or cartilaginous fish, hold great potential for many biotechnological applications due to their small size and excellent physicochemical properties. To bypass animal immunization and facilitate the isolation of antigen-specific single-domain antibodies with ease, we have constructed a synthetic single-domain antibody library comprising three diversified synthetic complementarity determining regions (CDRs) grafted into a humanized camelid heavy- chain antibody VH (VHH) framework. Using three types of model antigens, interleukin-1β (IL-1β), amyloid-β, and vascular endothelial growth factor, the constructed single-domain antibody library, which has a vast diversity of approximately 1.8 × 10¹⁰, was evaluated, and single-domain antibody sequences against them were identified.