Determination of protein-derived epitopes by mass spectrometry

Mass spectrometry has evolved as a technique suitable for the characterization of peptides and proteins beyond their linear sequence. The advantages of mass spectrometric sample analysis are high sensitivity, high mass accuracy, rapid analysis time and low sample consumption. In epitope mapping, the molecular structure of an antigen (the epitope or antigenic determinant) that interacts with the paratope (recognition surface) of the antibody is identified. To obtain information on linear, conformational and/or discontinuous epitopes, various approaches have been developed in conjunction with mass spectrometry. These methods include limited proteolysis and epitope footprinting, epitope excision and epitope extraction for linear epitopes and probing the surface accessibility of residues by differential chemical modifications of specific amino acid side chains or by differential hydrogen/deuterium exchange of the protein backbone amides for conformational and discontinuous epitopes. Epitope mapping by mass spectrometry is applicable in basic biochemical research and, with increasing robustness, should soon find its implementation in routine clinical diagnosis.     

Determination of protein-derived epitopes by mass spectrometry

Mass spectrometry has evolved as a technique suitable for the characterization of peptides and proteins beyond their linear sequence. The advantages of mass spectrometric sample analysis are high sensitivity, high mass accuracy, rapid analysis time and low sample consumption. In epitope mapping, the molecular structure of an antigen (the epitope or antigenic determinant) that interacts with the paratope (recognition surface) of the antibody is identified. To obtain information on linear, conformational and/or discontinuous epitopes, various approaches have been developed in conjunction with mass spectrometry. These methods include limited proteolysis and epitope footprinting, epitope excision and epitope extraction for linear epitopes and probing the surface accessibility of residues by differential chemical modifications of specific amino acid side chains or by differential hydrogen/deuterium exchange of the protein backbone amides for conformational and discontinuous epitopes. Epitope mapping by mass spectrometry is applicable in basic biochemical research and, with increasing robustness, should soon find its implementation in routine clinical diagnosis.     

The concept and operational definition of protein epitopes

The antigenic determinants or epitopes of a protein correspond to those parts of the molecule that are specifically recognized by the binding sites or paratopes of certain immunoglobulin molecules. Epitopes are thus relational entities that require complementary paratopes for their operational recognition. Some authors consider that the concept of epitope necessarily involves the two properties of antigenic reactivity (ability to bind to a paratope) and immunogenicity (ability to induce an immune response). Such a view creates difficulties because it makes the existence of epitopes in a protein depend on immunogenetic and regulatory mechanisms of the immunized host. The delineation of epitopes can be achieved by antigenic cross-reactivity studies or by X-ray crystallography. Both approaches require specific criteria for deciding which residues of the antigen are in contact with the paratope and are functionally part of the epitope. The relative contribution of static accessibility, segmental mobility and induced fit to immune recognition remains controversial. Each of the methods used for analysing antigenic specificity is subject to various operational constraints originating from the type of experimental probe and from the format sensitivity and specificity of the immunoassay used. If a protein is assumed to contain as many epitopes as the number of different monoclonal antibodies that can be raised against it, the delineation of epitopes corresponds to the summation in various hosts of the immune repertoire specific for the antigen. Neutralization epitopes are a special subclass of the epitopes of infectious agents and toxins that are specifically recognized by antibody molecules able to neutralize the biological activity of the antigen. The identification of neutralization epitopes is important for the development of synthetic vaccines because it is this type of epitope that should be mimicked by synthesis and used as a vaccine for eliciting protective immunity. The first demonstration that synthetic peptides could elicit antibodies that neutralized viral infectivity was made by Anderer and his colleagues in the 1960s in their work with tobacco mosaic virus. Nearly 20 years passed before it was shown that antibodies to synthetic peptides were also able to neutralize the infectivity of other viruses such as foot-and-mouth disease, polio and hepatitis B viruses.     

Conformational B-Cell Epitope Prediction on Antigen Protein Structures: A Review of Current Algorithms and Comparison with Common Binding Site Prediction Methods

Accurate prediction of B-cell antigenic epitopes is important for immunologic research and medical applications, but compared with other bioinformatic problems, antigenic epitope prediction is more challenging because of the extreme variability of antigenic epitopes, where the paratope on the antibody binds specifically to a given epitope with high precision. In spite of the continuing efforts in the past decade, the problem remains unsolved and therefore still attracts a lot of attention from bioinformaticists. Recently, several discontinuous epitope prediction servers became available, and it is intriguing to review all existing methods and evaluate their performances on the same benchmark. In addition, these methods are also compared against common binding site prediction algorithms, since they have been frequently used as substitutes in the absence of good epitope prediction methods.     

Prediction of Protein-Protein Interaction Sites Using Electrostatic Desolvation Profiles

Protein-protein complex formation involves removal of water from the interface region. Surface regions with a small free energy penalty for water removal or desolvation may correspond to preferred interaction sites. A method to calculate the electrostatic free energy of placing a neutral low-dielectric probe at various protein surface positions has been designed and applied to characterize putative interaction sites. Based on solutions of the finite-difference Poisson equation, this method also includes long-range electrostatic contributions and the protein solvent boundary shape in contrast to accessible-surface-area-based solvation energies. Calculations on a large set of proteins indicate that in many cases (>90%), the known binding site overlaps with one of the six regions of lowest electrostatic desolvation penalty (overlap with the lowest desolvation region for 48% of proteins). Since the onset of electrostatic desolvation occurs even before direct protein-protein contact formation, it may help guide proteins toward the binding region in the final stage of complex formation. It is interesting that the probe desolvation properties associated with residue types were found to depend to some degree on whether the residue was outside of or part of a binding site. The probe desolvation penalty was on average smaller if the residue was part of a binding site compared to other surface locations. Applications to several antigen-antibody complexes demonstrated that the approach might be useful not only to predict protein interaction sites in general but to map potential antigenic epitopes on protein surfaces.     

EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results

Background  

Accurate prediction of antigenic epitopes is important for immunologic research and medical applications, but it is still an open problem in bioinformatics. The case for discontinuous epitopes is even worse - currently there are only a few discontinuous epitope prediction servers available, though discontinuous peptides constitute the majority of all B-cell antigenic epitopes. The small number of structures for antigen-antibody complexes limits the development of reliable discontinuous epitope prediction methods and an unbiased benchmark to evaluate developed methods.     

Mapping antibody binding sites on cytochrome c with synthetic peptides: Are results representative of the antigenic structure of proteins?

Crystallographic work on antigen-antibody complexes has revealed that extensive surface areas of proteins may interact with antibodies. On the other hand, most experimental approaches to locate and define antigenic determinants of protein antigens rely on the linear sequence of the polypeptide chain. Hence the question arises whether mapping of antibody binding sites by analysis of the reactivity of anti-protein antibodies with synthetic peptides can provide a representative picture of the antigenic structure of a protein antigen. We have addressed this question using yeast iso-1 cytochrome c as a protein antigen against which antisera were raised in rabbits. The reaction of the antisera with 103 synthetic hexapeptides covering the entire sequence of cytochrome c was tested by the pepscan procedure in which peptides are coupled to polyethylene rods and tested by ELISA. For the assay, anti-cytochrome c antibodies were fractionated by affinity chromatography on native yeast iso-1 cytochrome c and on apo-cytochrome c; the latter is a random coil. It was found that only antibodies retained by the apo-cytochrome c affinity column react with synthetic peptides. These antibodies comprise a small fraction, probably less than 2%, of all cytochrome c-specific antibodies. The majority of antigenic determinants, which seem to consist of strongly conformation-dependent topographic epitopes, could not be uncovered by the peptide approach. Epitope mapping with short peptides seems of limited usefulness in the case of small, globular, and conformationally stable proteins like cytochrome c.     

Use of the averaged mutation rate in pieces of protein sequences to predict the location of antigenic determinants

Antigenic determinants in proteins show properties, which can be used to their prediction: high degree of accessibility, mobility, polarity etc. Furthermore, there is a remarkable correlation between the location of antigenic determinants and regions with high frequency of accepted mutations during the evolution. Consequently, it is possible to predict successfully the location of antigenic epitopes in proteins using the averaged mutation rate of protein sequence pieces.     

MALDI/MS-based epitope mapping of antigens bound to immobilized antibodies

Proteolytic digestion of proteins bound to immobilized antibodies, combined with matrix assisted laser desorption (MALDI) mass spectrometric identification of the affinity-bound peptides, can be a powerful technique for epitope determination. Binding of the protein to the antibody is done while the protein is in its native, folded state. A purified protein is not required for this procedure, because only proteins containing the antigenic determinant will bind to the antibody in the initial step. The method makes use of the resistance of the antibody to enzymatic digestion. Enzymatic cleavage products of the antigenic protein not containing the epitope are washed off the beads, leaving the epitope-containing fragments affinity bound to the immobilized antibody. Dissociation of the antigen-antibody complex prior to mass spectrometric analysis is unnecessary because the affinity-bound peptides are released by the MALDI matrix crystallization process, although the antibody remains covalently attached to the sepharose beads. This epitope-mapping protocol has been used in the determination of both continuous and discontinuous epitopes on both glycosylated and unglycosylated proteins.     

An in silico method using an epitope motif database for predicting the location of antigenic determinants on proteins in a structural context

Presently X-ray crystallography of protein-antibody complexes is still the most direct way of identifying B-cell epitopes. The objective of this study was to assess the potential of a computer-based epitope mapping tool (EMT) using antigenic amino acid motifs as a fast alternative in a number of applications not requiring detailed information, e.g. development of pharmaceutical proteins, vaccines and industrial enzymes. Using Gal d 4 as a model protein, the EMT was capable of identifying, in the context of the folded protein, amino acid positions known to be involved in antibody binding. The high sensitivity and positive predictive value of the EMT as well as the relevance of the structural associations suggested by the EMT indicated the existence of amino acid motifs that are likely to be involved in antigenic determinants. In addition, differential mapping revealed that sensitivity and positive predictive value were dependent on the minimum relative surface accessibility (RSA) of the amino acids included in the mapping, demonstrating that the EMTs accommodated for the fact that epitopes are three-dimensional entities with various degrees of accessibility. The comparison with existing prediction scales demonstrated the superiority of the EMT with respect to physico-chemical scales. The mapping tool also performed better than the available structural scales, but the significance of the differences remains to be established. Thus, the EMT has the potential of becoming a fast and simple alternative to X-ray crystallography for predicting structural antigenic determinants, if detailed epitope information is not required.     

Homology modeling of allergenic cyclophilins: IgE-binding site and structural basis of cross-reactivity

Cross-reactivity among allergens is of considerable scientific as well as clinical interest. Proteins belonging to the allergenic cyclophilin family share a high degree of sequence homology and are cross-reactive. Until date no three-dimensional structural information is available on these proteins and the shared structural features of the epitopes which are the most important determinants of cross-reactivity. Cyclophilins are also known to bind with the immuno-suppressive drug cyclosporin. Comparative molecular modeling of these allergenic cyclophilin proteins of different sources was performed in order to investigate the structural basis of their cross-reactivity. All the proteins studied revealed a similarity in the shape of the cross-reactive epitopes with varying degrees of accessibility. Cyclosporin binding and allergenic properties of these proteins were also found to be structurally related.     

Thermal stability of hepatitis B surface antigen S proteins.

Thermal stability of hepatitis B surface antigen (HBsAg) has been studied by analyzing alterations in the native secondary structure and the antigenic activity. After heating for 19 h, circular dichrosim showed a cooperative transition with a midpoint at 49 degrees C. The conformational changes induced by temperature reduced the helical content of HBsAg S proteins from 49% at 23 degrees C to 26% at 60 degrees C and abolished the antigenic activity, as measured by binding to polyclonal antibodies. Furthermore, the six different antigenic determinants recognized by our panel of monoclonal antibodies were also shown to be dependent on the native structure of HBsAg proteins. Hence, it can be inferred that these epitopes are conformation-dependent. Binding of monoclonal antibodies to HBsAg protected the native structure of the corresponding antigenic determinant from thermal denaturation. In fact, binding of one of the monoclonals tested resulted not only in protection of the corresponding epitope, but also in a consistent increase of antibody binding with increasing temperature. Such an increase in antibody binding occurred simultaneously with an increase in the fluidity of surface lipid regions, as monitored by fluorescence depolarization of 1-(trimethylammoniophenyl)-6-phenyl-1,3,5-hexatriene. This correlation, along with the observation that lipids play an important role in maintaining the structure and antigenic activity of HBsAg (Gavilanes et al. (1990) Biochem. J. 265, 857-864), allow to speculate the certain epitopes of HBsAg which are close to the lipid-protein interface, are dependent on the fluidity of the surface lipid regions. Thus, any change in the physical state of the lipids could confer a different degree of exposure to the antigenic determinants.     

The contribution of cysteine residues to antigenicity and extent of processing of herpes simplex virus type 1 glycoprotein D.

Glycoprotein D (gD) is an envelope component of herpes simplex virus types 1 (gD-1) and 2 (gD-2). The gD-1 polypeptide contains seven cysteine residues among its 369 amino acids; six are located on the N-terminal or luminal portion of the glycoprotein, and a seventh is located in the transmembrane region. Previous studies used a panel of monoclonal antibodies (MAbs) to define gD epitopes as continuous or discontinuous. Purified gD, denatured by reduction and alkylation, loses discontinuous epitopes, whereas continuous epitopes are retained. The contribution of disulfide bonds to maintenance of discontinuous epitopes is, therefore, significant. In the present study, our objective was to determine the contribution of individual cysteine residues to folding of gD-1 into its native conformation. Site-directed oligonucleotide mutagenesis was used to create seven mutants, each with a serine residue replacing a cysteine. The mutated genes were cloned into a eucaryotic expression vector and transfected into COS-1 cells, and the proteins were separated by nondenaturing polyacrylamide gel electrophoresis, followed by immunoblotting. Replacement of cysteine 7 (residue 333) had only a minimal effect on the antigenic properties of gD-1. In contrast, replacement of any one of the other six cysteine residues resulted in either a major reduction or a complete loss of binding of those MAbs that recognize discontinuous epitopes, with no effect on the binding of MAbs which recognize continuous epitopes. These mutations also had profound effects on the extent of oligosaccharide processing of gD-1. This was determined by digestion of the expressed proteins with various endoglycosidases, followed by electrophoresis and Western blotting (immunoblotting) to observe any mobility changes. Three mutant gD proteins which did not express discontinuous epitopes contained only high-mannose-type oligosaccharides, suggesting that processing had not proceeded beyond the precursor stage. Two mutant forms of gD exhibited reduced binding of MAbs to discontinuous epitopes. A small proportion of the molecules which accumulated at 48 h posttransfection contained complex oligosaccharides. One mutant exhibited reduced binding of MAbs to discontinuous epitopes, but was present at 48 h posttransfection only in the precursor form. The cysteine 7 mutant was processed to the same extent as wild-type gD. We conclude that the first six cysteine residues are critical to the correct folding, antigenic structure, and processing of gD-1, and we speculate that they form three disulfide-bonded pairs.     

Mapping Epitope Structure and Activity: From One-Dimensional Prediction to Four-Dimensional Description of Antigenic Specificity

Our knowledge of antigenic specificity has greatly increased in recent years mainly through X-ray crystallographic studies of proteins and peptides complexed with monoclonal antibodies. However, our ability to predict the location of antigenic sites in proteins remains limited partly because prediction algorithms reduce the complexity of epitopes to one-dimensional, linear peptide models. Epitopes and paratopes are relational entities definable by their mutual complementarity and adaptation potential as well as by their activity. A complete account of antigenic specificity demands the integration of both structural and binding activity data that can be achieved only through a spatiotemporal four-dimensional analysis. Failure to include the fourth dimension, i.e., time, in the analysis of antigen–antibody complementarity amounts to considering proteins as rigid bodies and ignores the mutual adaptation that occurs when the two partners interact. Reducing four-dimensional protein systems to three-dimensional or two-dimensional representations inevitably distorts our perception of the dynamic nature of epitopes.     

On the attribution of binding energy in antigen-antibody complexes McPC 603, D1.3, and HyHEL-5

Using X-ray coordinates of antigen-antibody complexes McPC 603, D1.3, and HyHEL-5, we made semiquantitative estimates of Gibbs free energy changes (delta G) accompanying noncovalent complex formation of the McPC 603 Fv fragment with phosphocholine and the D1.3 or HyHEL-5 Fv fragments with hen egg white lysozyme. Our empirical delta G function, which implicitly incorporates solvent effects, has the following components: hydrophobic force, solvent-modified electrostatics, changes in side-chain conformational entropy, translational/overall rotational entropy changes, and the dilutional (cratic) entropy term. The calculated delta G ranges matched the experimentally determined delta G of McPC 603 and D1.3 complexes and overestimated it (i.e., gave a more negative value) in the case of HyHEL-5. Relative delta G contributions of selected antibody residues, calculated for HyHEL-5 complexes, agreed with those determined independently in site-directed mutagenesis experiments. Analysis of delta G attribution in all three complexes indicated that only a small number of amino acids probably contribute actively to binding energetics. These form a subset of the total antigen-antibody contact surface. In the antibodies, the bottom part of the antigen binding cavity dominated the energetics of binding whereas in lysozyme, the energetically most important residues defined small (2.5-3 nm2) "energetic" epitopes. Thus, a concept of protein antigenicity emerges that involves the active, attractive contributions mediated by the energetic antigenic epitopes and the passive surface complementarity contributed by the surrounding contact area. The D1.3 energetic epitope of lysozyme involved Gly 22, Gly 117, and Gln 121; the HyHEL-5 epitope consisted of Arg 45 and Arg 68. These are also the essential antigenic residues determined experimentally. The above positions belong to the most protruding parts of the lysozyme surface, and their backbones are not exceptionally flexible. Least-squares analysis of six different antibody binding regions indicated that the geometry of the VH-VL interface beta-barrel is well conserved, giving no indication of significant changes in domain-domain contacts upon complex formation.     

ElliPro: a new structure-based tool for the prediction of antibody epitopes

Background  

Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between antigenicity, solvent accessibility, and flexibility in proteins was demonstrated. Subsequently, Thornton and colleagues proposed a method for identifying continuous epitopes in the protein regions protruding from the protein's globular surface. The aim of this work was to implement that method as a web-tool and evaluate its performance on discontinuous epitopes known from the structures of antibody-protein complexes.     

Structure of a high-affinity "mimotope" peptide bound to HIV-1-neutralizing antibody b12 explains its inability to elicit gp120 cross-reactive antibodies

The human antibody b12 recognizes a discontinuous epitope on gp120 and is one of the rare monoclonal antibodies that neutralize a broad range of primary human immunodeficiency virus type 1 (HIV-1) isolates. We previously reported the isolation of B2.1, a dimeric peptide that binds with high specificity to b12 and competes with gp120 for b12 antibody binding. Here, we show that the affinity of B2.1 was improved 60-fold over its synthetic-peptide counterpart by fusing it to the N terminus of a soluble protein. This affinity, which is within an order of magnitude of that of gp120, probably more closely reflects the affinity of the phage-borne peptide. The crystal structure of a complex between Fab of b12 and B2.1 was determined at 1.8 A resolution. The structural data allowed the differentiation of residues that form critical contacts with b12 from those required for maintenance of the antigenic structure of the peptide, and revealed that three contiguous residues mediate B2.1's critical contacts with b12. This single region of critical contact between the B2.1 peptide and the b12 paratope is unlikely to mimic the discontinuous key binding residues involved in the full b12 epitope for gp120, as previously identified by alanine scanning substitutions on the gp120 surface. These structural observations are supported by experiments that demonstrate that B2.1 is an ineffective immunogenic mimic of the b12 epitope on gp120. Indeed, an extensive series of immunizations with B2.1 in various forms failed to produce gp120 cross-reactive sera. The functional and structural data presented here, however, suggest that the mechanism by which b12 recognizes the two antigens is very different. Here, we present the first crystal structure of peptide bound to an antibody that was originally raised against a discontinuous protein epitope. Our results highlight the challenge of producing immunogens that mimic discontinuous protein epitopes, and the necessity of combining complementary experimental approaches in analyzing the antigenic and immunogenic properties of putative molecular mimics.     

Machine learning approaches for prediction of linear B-cell epitopes on proteins

Identification and characterization of antigenic determinants on proteins has received considerable attention utilizing both, experimental as well as computational methods. For computational routines mostly structural as well as physicochemical parameters have been utilized for predicting the antigenic propensity of protein sites. However, the performance of computational routines has been low when compared to experimental alternatives. Here we describe the construction of machine learning based classifiers to enhance the prediction quality for identifying linear B-cell epitopes on proteins. Our approach combines several parameters previously associated with antigenicity, and includes novel parameters based on frequencies of amino acids and amino acid neighborhood propensities. We utilized machine learning algorithms for deriving antigenicity classification functions assigning antigenic propensities to each amino acid of a given protein sequence. We compared the prediction quality of the novel classifiers with respect to established routines for epitope scoring, and tested prediction accuracy on experimental data available for HIV proteins. The major finding is that machine learning classifiers clearly outperform the reference classification systems on the HIV epitope validation set.     

A combinatorial mutagenesis approach for functional epitope mapping on phage-displayed target antigen

Although multiple different procedures to characterize the epitopes recognized by antibodies have been developed, site-directed mutagenesis remains the method of choice to define the energetic contribution of antigen residues to binding. These studies are useful to identify critical residues and to delineate functional maps of the epitopes. However, they tend to underestimate the roles of residues that are not critical for binding on their own, but contribute to the formation of the target epitope in an additive, or even cooperative, way. Mapping antigenic determinants with a diffuse energetic landscape, which establish multiple individually weak interactions with the antibody paratope, resulting in high affinity and specificity recognition of the epitope as a whole, is thus technically challenging. The current work was aimed at developing a combinatorial strategy to overcome the limitations of site-directed mutagenesis, relying on comprehensive randomization of discrete antigenic regions within phage-displayed antigen libraries. Two model antibodies recognizing epidermal growth factor were used to validate the mapping platform. Abrogation of antibody recognition due to the introduction of simultaneous replacements was able to show the involvement of particular amino acid clusters in epitope formation. The abundance of some of the original residues (or functionally equivalent amino acids sharing their physicochemical properties) among the set of mutated antigen variants selected on a given antibody highlighted their contributions and allowed delineation of a detailed functional map of the corresponding epitope. The use of the combinatorial approach could be expanded to map the interactions between other antigens/antibodies.