A Role of the Third Complementarity-determining Region in the Affinity Maturation of an Antibody

Structural Classification of CDR-H3 in Single-Domain VHH Antibodies

The immune systems protect vertebrates from foreign molecules or antigens, and antibodies are important mediators of this system. The sequences and structural features of antibodies vary depending on species. Many of antibodies from vertebrates, including camelids, have both heavy and light chain variable domains, but camelids also have antibodies that lack the light chains. In antibodies that lack light chains, the C-terminal variable region is called the V_HH domain. Antibodies recognize antigens through six complementarity-determining regions (CDRs). The third CDR of the heavy chain (CDR-H3) is at the center of the antigen-binding site and is diverse in terms of sequence and structure. Due to the importance of antibodies in basic science as well as in medical applications, there have been many studies of CDR-H3s of antibodies that possess both light and heavy chains. However, nature of CDR-H3s of single-domain V_HH antibodies is less well studied. In this chapter, we describe current knowledge of sequence-structure-function correlations of single-domain V_HH antibodies with emphasis on CDR-H3. Based on the 370 crystal structures in the Protein Data Bank, we also attempt structural classification of CDR-H3 in single-domain V_HH antibodies and discuss lessons learned from the ever-increasing number of the structures.

Structural, functional, and physiological properties of anti-(4-hydroxy-3-nitrophenyl)acetyl antibodies during the course of affinity maturation

Structural and functional analyses of antibodies in the affinity maturation pathway can help us understand the molecular mechanisms of protein recognition. Using one of the haptens, (4-hydroxy-3-nitrophenyl)acetyl (NP), various monoclonal antibodies have been obtained, either at the early or late stage of immunization. The variable regions of monoclonal antibodies and their site-directed mutants can also be obtained as single-chain Fv (scFv) antibodies. The change in antigen-binding affinity and avidity of matured-type antibodies from germline-type antibodies could be evaluated based on binding kinetics and thermodynamics, proposing the antigen recognition mode. Crystal structures of a germline-type antibody, N1G9, and a matured-type antibody, C6, in complex with NP were determined, revealing different antigen-binding mode at atomic resolution. Notably, the Tyr to Gly mutation at the 95th residue of the heavy chain is critical for changing the configuration of complementarity determining region 3, which is involved in antigen binding. Furthermore, thermal stability analyses of scFv antibodies have revealed trade-off between antigen-binding affinity and thermal stability in the antigen-unbound state. To increase affinity, the stability of the variable region may be decreased, possibly due to protein architecture. The high stability of germline-type antibodies and the low stability of matured-type antibodies, which increase upon antigen binding, can be explained by the stability of antibodies required at the respective stages of immunization.

Repertoire Analysis of Antibody CDR-H3 Loops Suggests Affinity Maturation Does Not Typically Result in Rigidification

Antibodies can rapidly evolve in specific response to antigens. Affinity maturation drives this evolution through cycles of mutation and selection leading to enhanced antibody specificity and affinity. Elucidating the biophysical mechanisms that underlie affinity maturation is fundamental to understanding B-cell immunity. An emergent hypothesis is that affinity maturation reduces the conformational flexibility of the antibody's antigen-binding paratope to minimize entropic losses incurred upon binding. In recent years, computational and experimental approaches have tested this hypothesis on a small number of antibodies, often observing a decrease in the flexibility of the complementarity determining region (CDR) loops that typically comprise the paratope and in particular the CDR-H3 loop, which contributes a plurality of antigen contacts. However, there were a few exceptions and previous studies were limited to a small handful of cases. Here, we determined the structural flexibility of the CDR-H3 loop for thousands of recent homology models of the human peripheral blood cell antibody repertoire using rigidity theory. We found no clear delineation in the flexibility of naïve and antigen-experienced antibodies. To account for possible sources of error, we additionally analyzed hundreds of human and mouse antibodies in the Protein Data Bank through both rigidity theory and B-factor analysis. By both metrics, we observed only a slight decrease in the CDR-H3 loop flexibility when comparing affinity matured antibodies to naïve antibodies, and the decrease was not as drastic as previously reported. Further analysis, incorporating molecular dynamics simulations, revealed a spectrum of changes in flexibility. Our results suggest that rigidification may be just one of many biophysical mechanisms for increasing affinity.

Antibody Affinity Maturation by Computational Design

The immune systems protect our bodies from foreign molecules or antigens, where antibodies play important roles. Antibodies evolve over time upon antigen encounter by somatically mutating their genome sequences. The end result is a series of antibodies that display higher affinities and specificities to specific antigens. This process is called affinity maturation. Recent improvements in computer hardware and modeling algorithms now enable the rational design of protein structures and functions, and several works on computer-aided antibody design have been published. In this chapter, we briefly describe computational methods for antibody affinity maturation, focusing on methods for sampling antibody conformations and for scoring designed antibody variants. We also discuss lessons learned from the successful computer-aided design of antibodies.

Length-independent structural similarities enrich the antibody CDR canonical class model

Complementarity-determining regions (CDRs) are antibody loops that make up the antigen binding site. Here, we show that all CDR types have structurally similar loops of different lengths. Based on these findings, we created length-independent canonical classes for the non-H3 CDRs. Our length variable structural clusters show strong sequence patterns suggesting either that they evolved from the same original structure or result from some form of convergence. We find that our length-independent method not only clusters a larger number of CDRs, but also predicts canonical class from sequence better than the standard length-dependent approach.

To demonstrate the usefulness of our findings, we predicted cluster membership of CDR-L3 sequences from 3 next-generation sequencing datasets of the antibody repertoire (over 1,000,000 sequences). Using the length-independent clusters, we can structurally classify an additional 135,000 sequences, which represents a ∼20% improvement over the standard approach. This suggests that our length-independent canonical classes might be a highly prevalent feature of antibody space, and could substantially improve our ability to accurately predict the structure of novel CDRs identified by next-generation sequencing.

Engineered IgG1-Fc--one fragment to bind them all

The crystallizable fragment (Fc) of the immunoglobulin class G (IgG) is a very attractive scaffold for the design of novel therapeutics due to its quality of uniting all essential antibody functions. This article reviews the functionalization of this homodimeric glycoprotein by diversification of structural loops of CH3 domains for the design of Fcabs, i.e. antigen-binding Fc proteins. It reports the design of libraries for the selection of nanomolar binders with wildtype-like in vivo half-life and correlation of Fc receptor binding and ADCC. The in vitro and preclinical biological activity of selected Fcabs is compared with that of clinically approved antibodies. Recently, the great potential of the scaffold for the development of therapeutics for clinical use has been shown when the HER2-binding Fcab FS102 entered clinical phase I. Furthermore, methods for the engineering of biophysical properties of Fcabs applicable to proteins in general are presented as well as the different approaches in the design of heterodimeric Fc-based scaffolds used in the generation of bispecific monoclonal antibodies. Finally, this work critically analyzes and compares the various efforts in the design of highly diverse and functional libraries that have been made in the engineering of IgG1-Fc and structurally similar scaffolds.

Rigidity Emerges during Antibody Evolution in Three Distinct Antibody Systems: Evidence from QSFR Analysis of Fab Fragments

The effects of somatic mutations that transform polyspecific germline (GL) antibodies to affinity mature (AM) antibodies with monospecificity are compared among three GL-AM Fab pairs. In particular, changes in conformational flexibility are assessed using a Distance Constraint Model (DCM). We have previously established that the DCM can be robustly applied across a series of antibody fragments (VL to Fab), and subsequently, the DCM was combined with molecular dynamics (MD) simulations to similarly characterize five thermostabilizing scFv mutants. The DCM is an ensemble based statistical mechanical approach that accounts for enthalpy/entropy compensation due to network rigidity, which has been quite successful in elucidating conformational flexibility and Quantitative Stability/Flexibility Relationships (QSFR) in proteins. Applied to three disparate antibody systems changes in QSFR quantities indicate that the VH domain is typically rigidified, whereas the VL domain and CDR L2 loop become more flexible during affinity maturation. The increase in CDR H3 loop rigidity is consistent with other studies in the literature. The redistribution of conformational flexibility is largely controlled by nonspecific changes in the H-bond network, although certain Arg to Asp salt bridges create highly localized rigidity increases. Taken together, these results reveal an intricate flexibility/rigidity response that accompanies affinity maturation.

Antibodies are protective proteins used by the immune system to recognize and neutralize foreign objects through interactions with a specific part of the target, called an antigen. Antibody structures are Y-shaped, contain multiple protein chains, and include two antigen-binding sites. The binding sites are located at the end of the Fab fragments, which are the upward facing arms of the Y-structure. The Fab fragments maintain binding affinity by themselves, and are thus often used as surrogates to student antibody-antigen interactions. High affinity antibodies are produced during the course of an immune response by successive mutations to germline gene-encoded antibodies. Germline antibodies are more likely to be polyspecific, whereas the affinity maturation process yields monoclonal antibodies that bind specifically to the target antigen. In this work, we use a computational Distance Constraint Model to characterize how mechanical properties change as three disparate germline antibodies are converted to affinity mature. Our results reveal a rich set of mechanical responses throughout the Fab structure. Nevertheless, increased rigidity in the VH domain is consistently observed, which is consistent with the transition from polyspecificity to monospecificity. That is, flexible antibody structures are able to recognize multiple antigens, while increased affinity and specificity is achieved—in part—by structural rigidification.

Disjoint combinations profiling (DCP): a new method for the prediction of antibody CDR conformation from sequence

The accurate prediction of the conformation of Complementarity-Determining Regions (CDRs) is important in modelling antibodies for protein engineering applications. Specifically, the Canonical paradigm has proved successful in predicting the CDR conformation in antibody variable regions. It relies on canonical templates which detail allowed residues at key positions in the variable region framework or in the CDR itself for 5 of the 6 CDRs. While no templates have as yet been defined for the hypervariable CDR-H3, instead, reliable sequence rules have been devised for predicting the base of the CDR-H3 loop. Here a new method termed Disjoint Combinations Profiling (DCP) is presented, which contributes a considerable advance in the prediction of CDR conformations. This novel method is explained and compared with canonical templates and sequence rules in a 3-way blind prediction. DCP achieved 93% accuracy over 951 blind predictions and showed an improvement in cumulative accuracy compared to predictions with canonical templates or sequence rules. In addition to its overall improvement in prediction accuracy, it is suggested that DCP is open to better implementations in the future and that it can improve as more antibody structures are deposited in the databank. In contrast, it is argued that canonical templates and sequence rules may have reached their peak.

A complete, multi-level conformational clustering of antibody complementarity-determining regions

Classification of antibody complementarity-determining region (CDR) conformations is an important step that drives antibody modelling and engineering, prediction from sequence, directed mutagenesis and induced-fit studies, and allows inferences on sequence-to-structure relations. Most of the previous work performed conformational clustering on a reduced set of structures or after application of various structure pre-filtering criteria. In this study, it was judged that a clustering of every available CDR conformation would produce a complete and redundant repertoire, increase the number of sequence examples and allow better decisions on structure validity in the future. In order to cope with the potential increase in data noise, a first-level statistical clustering was performed using structure superposition Root-Mean-Square Deviation (RMSD) as a distance-criterion, coupled with second- and third-level clustering that employed Ramachandran regions for a deeper qualitative classification. The classification of a total of 12,712 CDR conformations is thus presented, along with rich annotation and cluster descriptions, and the results are compared to previous major studies. The present repertoire has procured an improved image of our current CDR Knowledge-Base, with a novel nesting of conformational sensitivity and specificity that can serve as a systematic framework for improved prediction from sequence as well as a number of future studies that would aid in knowledge-based antibody engineering such as humanisation.

Computer-aided antibody design

Recent clinical trials using antibodies with low toxicity and high efficiency have raised expectations for the development of next-generation protein therapeutics. However, the process of obtaining therapeutic antibodies remains time consuming and empirical. This review summarizes recent progresses in the field of computer-aided antibody development mainly focusing on antibody modeling, which is divided essentially into two parts: (i) modeling the antigen-binding site, also called the complementarity determining regions (CDRs), and (ii) predicting the relative orientations of the variable heavy (V(H)) and light (V(L)) chains. Among the six CDR loops, the greatest challenge is predicting the conformation of CDR-H3, which is the most important in antigen recognition. Further computational methods could be used in drug development based on crystal structures or homology models, including antibody-antigen dockings and energy calculations with approximate potential functions. These methods should guide experimental studies to improve the affinities and physicochemical properties of antibodies. Finally, several successful examples of in silico structure-based antibody designs are reviewed. We also briefly review structure-based antigen or immunogen design, with application to rational vaccine development.

Multi-constraint computational design suggests that native sequences of germline antibody H3 loops are nearly optimal for conformational flexibility

The limited size of the germline antibody repertoire has to recognize a far larger number of potential antigens. The ability of a single antibody to bind multiple ligands due to conformational flexibility in the antigen-binding site can significantly enlarge the repertoire. Among the six complementarity determining regions (CDRs) that generally comprise the binding site, the CDR H3 loop is particularly variable. Computational protein design studies showed that predicted low energy sequences compatible with a given backbone structure often have considerable similarity to the corresponding native sequences of naturally occurring proteins, indicating that native protein sequences are close to optimal for their structures. Here, we take a step forward to determine whether conformational flexibility, believed to play a key functional role in germline antibodies, is also central in shaping their native sequence. In particular, we use a multi-constraint computational design strategy, along with the Rosetta scoring function, to propose that the native sequences of CDR H3 loops from germline antibodies are nearly optimal for conformational flexibility. Moreover, we find that antibody maturation may lead to sequences with a higher degree of optimization for a single conformation, while disfavoring sequences that are intrinsically flexible. In addition, this computational strategy allows us to predict mutations in the CDR H3 loop to stabilize the antigen-bound conformation, a computational mimic of affinity maturation, that may increase antigen binding affinity by preorganizing the antigen binding loop. In vivo affinity maturation data are consistent with our predictions. The method described here can be useful to design antibodies with higher selectivity and affinity by reducing conformational diversity.

Structural basis of antibody-antigen interactions

Antibody molecules can be regarded as products of a protein engineering system for the generation of a virtually unlimited repertoire of complementary molecular surfaces. This extreme structural heterogeneity is required for recognition of the nearly infinite array of antigenic determinants. This chapter discusses the structures of antibodies and their specific recognition of antigens, the binding energetics of these interactions, the cross-reactivity and specificity of antibody-antigen interactions, the role of conformational flexibility in antigen recognition, and the structural basis of the antibody affinity maturation process.

Evolution of polyketide synthases in bacteria

The emergence of resistant strains of human pathogens to current antibiotics, along with the demonstrated ability of polyketides as antimicrobial agents, provides strong motivation for understanding how polyketide antibiotics have evolved and diversified in nature. Insights into how bacterial polyketide synthases (PKSs) acquire new metabolic capabilities can guide future laboratory efforts in generating the next generation of polyketide antibiotics. Here, we examine phylogenetic and structural evidence to glean answers to two general questions regarding PKS evolution. How did the exceptionally diverse chemistry of present-day PKSs evolve? And what are the take-home messages for the biosynthetic engineer?

Efficient bacterial production of functional antibody fragments using a phagemid vector

The so-called 'in vitro evolutionary method' using a phage display system has been applied for protein engineering of the antigen-binding fragment of antibodies (Fab) by conducting random mutagenesis at the antigen-binding site in combination with antigen-based biopanning. However, isolated phage clones displaying Fab cannot necessarily be used for efficient bacterial production of engineered Fab proteins, often due to deleterious defects in their proper folding abilities derived in compensation for the gain of high affinity for a particular antigen. We here report a new method of an efficient and direct bacterial expression system for the phagemid-coded Fab proteins without use of the helper phage. To overcome a low folding efficiency derived from somatic hypermutations, if any, we have established optimum conditions for bacterial cultivation and protein expression, utilizing unusually long cultivation time (>50 h) and very low temperature (25 degrees C) and thereby leading to the production and extracellular secretion of Fab proteins in a very high yield (3-15 mg/L of culture). The purified Fab folded correctly and could efficiently bind an antigen, as judged by circular dichroism and isothermal titration calorimetry, respectively.

Isolation and affinity maturation of hapten-specific antibodies

More and more recombinant antibodies specific for haptens such as drugs of abuse, dyes and pesticides are being isolated from antibody libraries. Thereby isolated antibodies tend to possess lower affinity than their parental, full-size counterparts, and therefore the isolation techniques must be optimized or the antibody genes must be affinity-matured in order to reach high affinities and specificities required for practical applications. Several strategies have been explored to obtain high-affinity recombinant antibodies from antibody libraries: At the selection level, biopanning optimization can be performed through elution with free hapten, analogue pre-incubation and subtractive panning. At the mutagenesis level, techniques such as random mutagenesis, bacterial mutator strains passaging, site-directed mutagenesis, mutational hotspots targeting, parsimonious mutagenesis, antibody shuffling (chain, DNA and staggered extension process) have been used with various degrees of success to affinity mature or modify hapten-specific antibodies. These techniques are reviewed, illustrated and compared.

Strategy for affinity maturation of an antibody with high evolvability to (4-hydroxy-3-nitrophenyl) acetyl hapten

In order to quantitate the contribution of amino acid replacements to an increase in affinity during affinity maturation, we measured thermodynamic parameters of the antigen-antibody interaction for a group of anti-(4-hydroxy-3-nitrophenyl) acetyl monoclonal antibodies whose differences in amino acid sequences had arisen only from somatic hypermutation. We prepared a common ancestor and hypothetical intermediate clones that might occur on the affinity maturation pathway, by employing site-directed mutagenesis. Isothermal calorimetric titration of the antigen-antibody reaction revealed that antibody evolution proceeds in two steps. The first step is driven by a decrease in enthalpy, in which two amino acid replacements in the VL region play an essential role. Further accumulation of amino acid replacements in VH and VL regions during the second step induce a progressive increase in affinity, which is driven by an increase in entropy, which has a cooperative mutational effect.

Transition towards antigen-binding promiscuity of a monospecific antibody

Polyspecificity is defined as the ability of a given antibody molecule to bind a large panel of structurally diverse antigens. A fraction of circulating IgG in all healthy individuals acquires promiscuous antigen-binding activity only after a transient exposure to certain protein destabilizing factors. The molecular mechanisms of this phenomenon are not well understood. Exposures to protein destabilizing agents are common steps in immunoglobulin isolation and purification processes. We performed kinetic and thermodynamic analyses using surface plasmon resonance-based technique in order to characterize the interactions of a single mouse monoclonal antibody to its cognate antigen before and after induction of promiscuous antigen-binding activity. The obtained results, suggest that enhanced antigen binding activity induced by exposure to mild denaturing condition resulted from an increase in the structural flexibility of the antigen-binding site. Further pH and ionic strength-dependence analyses of the antibody/antigen interactions demonstrated that the transition to promiscuous antigen-binding was accompanied by a change in the type of non-covalent forces involved in the complex formation. Moreover, from this study, it is evident that an antibody molecule could use two distinct thermodynamic pathways for binding to the same antigen while retaining the same value of the binding affinity. The obtained results may contribute to the understanding of the molecular mechanisms that lay behind natural antibody polyspecificity.

Structural mimicry of CD4 by a cross-reactive HIV-1 neutralizing antibody with CDR-H2 and H3 containing unique motifs

Human immunodeficiency virus (HIV) entry into cells is initiated by the binding of its envelope glycoprotein (Env) gp120 to receptor CD4. Antibodies that bind to epitopes overlapping the CD4-binding site (CD4bs) on gp120 can prevent HIV entry by competing with cell-associated CD4; their ability to outcompete CD4 is a major determinant of their neutralizing potency and is proportional to their avidity. The breadth of neutralization and the likelihood of the emergence of antibody-resistant virus are critically dependent on the structure of their epitopes. Because CD4bs is highly conserved, it is reasonable to hypothesize that antibodies closely mimicking CD4 could exhibit relatively broad cross-reactivity and a high probability of preventing the emergence of resistant viruses. Previously, in a search for antibodies that mimic CD4 or the co-receptor, we identified and characterized a broadly cross-reactive HIV-neutralizing CD4bs human monoclonal antibody (hmAb), m18. Here, we describe the crystal structure of Fab m18 at 2.03 A resolution, which reveals unique conformations of heavy chain complementarity-determining regions (CDRs) 2 and 3 (H2 and H3). H2 is highly bulged and lacks cross-linking interstrand hydrogen bonds observed in all four canonical structures. H3 is 17.5 A long and rigid, forming an extended beta-sheet decorated with an alpha-turn motif bearing a phenylalanine-isoleucine fork at the apex. It shows striking similarity to the Ig CDR2-like C'C'' region of the CD4 first domain D1 that dominates the binding of CD4 to gp120. Docking simulations suggest significant similarity between the m18 epitope and the CD4bs on gp120. Fab m18 does not enhance binding of CD4-induced (CD4i) antibodies, nor does it induce CD4-independent fusion mediated by the HIV Env. Thus, vaccine immunogens based on the m18 epitope structure are unlikely to elicit antibodies that could enhance infection. The structure can also serve as a basis for the design of novel, highly efficient inhibitors of HIV entry.

Initial repertoire of anti-(4-hydroxy-3-nitrophenylacetyl) antibodies as potential donors for effective affinity maturation

We previously found that there are two distinct antibody (Ab) maturation pathways for the immune response of C57BL/6 mice to 4-hydroxy-3-nitrophenylacetyl (NP), one involving Abs with high evolvability (group-H) and the other involving Abs with low evolvability (group-L). Commitment to whichever pathway is followed pre-determined in B cells at an early developmental stage. Candidates for the group-L or -H pathway are thus expected to pre-exist in the initial repertoire of the immune response. In the present study, we examined the initial Ab repertoire from the viewpoint of the latent potential of these Abs for effective affinity maturation. At first, we prepared anti-NP B cell hybridomas at 1 week postimmunization. Although the diversity of the obtained repertoire was maintained mainly by the third complementarity determining region of the heavy chain (CDR-H3), their changes in the near UV circular dichroism resulting from NP-binding allowed for classification into three groups according to the same rules applied in the pathway classification of the maturated Abs. This suggested that the innate structural properties of CDR-H3 were conserved throughout maturation. In other words, in exploring the structure of CDR-H3, it is possible to distinguish the latent potentials of Abs in effective affinity maturation even those making up the initial Ab repertoire. We then examined an artificially designed group-H Ab prototype and found its NP-binding ability sufficient for engagement in the initial repertoire. The question arose here as to why the majority of the actual initial repertoire consisted of the group-L ancestors regardless of their middling NP-binding affinity, which called for further discussion from the viewpoint of the dynamics possibly shaping the repertoire.

A monoclonal antibody against a carbohydrate epitope in lipopolysaccharide differentiates Chlamydophila psittaci from Chlamydophila pecorum, Chlamydophila pneumoniae, and Chlamydia trachomatis

Lipopolysaccharide (LPS) of Chlamydophila psittaci but not of Chlamydophila pneumoniae or Chlamydia trachomatis contains a tetrasaccharide of 3-deoxy-alpha-d-manno-oct-2-ulopyranosonic acid (Kdo) of the sequence Kdo(2-->8)[Kdo(2-->4)] Kdo(2-->4)Kdo. After immunization with the synthetic neoglycoconjugate antigen Kdo(2-->8)[Kdo(2-->4)]Kdo(2-->4) Kdo-BSA, we obtained the mouse monoclonal antibody (mAb) S69-4 which was able to differentiate C. psittaci from Chlamydophila pecorum, C. pneumoniae, and C. trachomatis in double labeling experiments of infected cell monolayers and by enzyme-linked immunosorbent assay (ELISA). The epitope specificity of mAb S69-4 was determined by binding and inhibition assays using bacteria, LPS, and natural or synthetic Kdo oligosaccharides as free ligands or conjugated to BSA. The mAb bound preferentially Kdo(2-->8)[Kdo(2-->4)]Kdo(2-->4)Kdo(2-->4) with a K(d) of 10 microM, as determined by surface plasmon resonance (SPR) for the monovalent interaction using mAb or single chain Fv. Cross-reactivity was observed with Kdo(2-->4)Kdo(2-->4) Kdo but not with Kdo(2-->8)Kdo(2-->4)Kdo, Kdo disaccharides in 2-->4- or 2-->8-linkage, or Kdo monosaccharide. MAb S69-4 was able to detect LPS on thin-layer chromatography (TLC) plates in amounts of <10 ng by immunostaining. Due to the high sensitivity achieved in this assay, the antibody also detected in vitro products of cloned Kdo transferases of Chlamydia. The antibody can therefore be used in medical and veterinarian diagnostics, general microbiology, analytical biochemistry, and studies of chlamydial LPS biosynthesis. Further contribution to the general understanding of carbohydrate-binding antibodies was obtained by a comparison of the primary structure of mAb S69-4 to that of mAb S45-18 of which the crystal structure in complex with its ligand has been elucidated recently (Nguyen et al., 2003, Nat. Struct. Biol., 10, 1019-1025).

Site-directed mutagenesis study of the antibody 2D7 which catalyzes a reaction for insertion of Cu2+ into mesoporphyrin

Monoclonal antibody 2D7 generated against a transition-state analog N-methyl mesoporphyrin catalyzes a reaction for insertion of a cupric ion into mesoporphyrin. To investigate amino acid residues responsible for the catalytic activity, site-directed mutagenesis of the amino acid residues in the third complementarity determining region of the heavy chain (CDRH3) was performed on the antigen-binding fragment (Fab) of the antibody. Recombinant Fab mutants, in which Arg95 is replaced with Ala (R95A), Asp96 with Asn (D96N) and Met97 with Gly (M97G), were examined in terms of the catalytic efficiency of the reaction (k/K(S)) and the dissociation constant for N-methyl mesoporphyrin binding (K(d)) and these values were compared with those of the wild type. The k/K(S) values of the R95A and D96N mutants were 0.96% and 1.0% of that of the wild type, respectively, whereas the M97G mutant had no detectable catalytic activity. The K(d) values of the R95A and D96N mutants were 165 and 69 times that of the wild type, respectively, while that of the M97G mutant was similar to that of the wild type. The relationship between the k/K(S) and 1/K(d) values in the wild type and the R95A and D96N mutants suggests that Arg95 and Asp96 are responsible for stabilizing the transition-state in the catalytic reaction. The results of the M97G mutant allow us to propose that Met97 plays an important role in the catalytic activity probably due to a subtle and specific conformation of the antibody.

A landscape for the dynamics of an immune response

Dynamic shaping of the antibody repertoire is essential for effective immunity. We describe here a novel approach for clarifying how the antibody repertoire is shaped over time for development of a specific immune response. We obtained over 500 immunoglobulin G1 clones harboring VH186.2 from the spleen, bone marrow, and microdissected individual germinal centers of (4-hydroxy-3-nitrophenyl) acetyl-immunized C57BL/6 mice at various time points postimmunization. Statistical analyses provided an index for defining clonal diversity and cluster analyses gave us a three-dimensional landscape with which clone distance was visualized with the expression level of antibodies. This landscape approach facilitated our understanding of the dynamics shaping the actual antibody repertoire, in which pre-existing naturally occurring population persisted and provided a significant impact upon the repertoire. To the established model for describing production of the antibody-forming cells, we were able to append an indispensable issue in considering the maturation of humoral immune response.

Thermodynamic and kinetic aspects of antibody evolution during the immune response to hapten

We determined thermodynamic and kinetic parameters for the antigen-antibody interaction using a group of anti-(4-hydroxy-3-nitrophenyl)acetyl monoclonal antibodies whose differences in amino acid sequences had arisen only from somatic hypermutation. These monoclonal antibodies were considered to have originated from a common ancestor clone and to represent progression along the affinity maturation pathway. The kinetic measurements showed that both association and dissociation rate constants of the antigen-antibody interaction decreased during maturation. Thermodynamic measurements revealed that an increase in affinity was obtained by an increase in entropy without any significant change in enthalpy. These results suggested that the mechanism for the antigen-antibody interaction shifted from a "zipper" type to a "lock-and-key" type during antibody evolution.