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Anchor residue motifs of HLA class-I-binding peptides analyzed by the direct binding of synthetic peptides to HLA class I alpha chains.

The binding characteristics of the primary anchor residue motifs reported for HLA-A2 (A*0201, A*0205) and HLA-B27 (B*2705) alleles were investigated by a direct binding assay of the pertinent synthetic peptides to HLA class I alpha chains derived from a panel of HLA homozygous B-cell lines of various HLA phenotypes, including four A2 subtypes. The assay is based on a serologic detection of the conformational change of HLA class I alpha chains induced by binding to specific peptides in the presence of beta 2m. It is applicable to test a large number of HLA allelic products and synthetic peptides. Assay data confirmed the high allele specificity of the anchor residue motifs tested, but also revealed the intra- and interlocus cross-reactivity of these motifs. In the case of A2 anchor motifs, not only a broad cross-reactivity within the A2 subgroup, but also cross-reactivities with A24, A26, A28, and A29 were observed. With B27 anchor motifs, an interlocus cross-reactivity with A3 and A31 was seen. Several peptides, even though they carried A2 or B27 major anchor residue motifs, failed to bind to the relevant alpha chains, suggesting that the presence of a primary anchor residue motif is necessary for HLA class-I-peptide binding but is not by itself sufficient to guarantee binding.

Amino Acid Sequence↗

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models.

BACKGROUND: The binding between peptide epitopes and major histocompatibility complex proteins (MHCs) is an important event in the cellular immune response. Accurate prediction of the binding between short peptides and the MHC molecules has long been a principal challenge for immunoinformatics. Recently, the modeling of MHC-peptide binding has come to emphasize quantitative predictions: instead of categorizing peptides as "binders" or "non-binders" or as "strong binders" and "weak binders", recent methods seek to make predictions about precise binding affinities. RESULTS: We developed a quantitative support vector machine regression (SVR) approach, called SVRMHC, to model peptide-MHC binding affinities. As a non-linear method, SVRMHC was able to generate models that out-performed existing linear models, such as the "additive method". By adopting a new "11-factor encoding" scheme, SVRMHC takes into account similarities in the physicochemical properties of the amino acids constituting the input peptides. When applied to MHC-peptide binding data for three mouse class I MHC alleles, the SVRMHC models produced more accurate predictions than those produced previously. Furthermore, comparisons based on Receiver Operating Characteristic (ROC) analysis indicated that SVRMHC was able to out-perform several prominent methods in identifying strongly binding peptides. CONCLUSION: As a method with demonstrated performance in the quantitative modeling of MHC-peptide binding and in identifying strong binders, SVRMHC is a promising immunoinformatics tool with not inconsiderable future potential.

Algorithms↗

Peptide binding to protein disulfide isomerase occurs at a site distinct from the active sites.

Protein disulfide isomerase (PDI) is a multifunctional protein resident in the lumen of the rough endoplasmic reticulum that facilitates protein folding via disulfide bond isomerization. Previously we determined that PDI binds a variety of peptides that can be covalently attached to this protein via a photoreactive cross-linker. We have now investigated the relationship between the peptide binding site and the ability of PDI to catalyze disulfide bond isomerization. PDI has two identical sequences, -WCGHCK-, that have been demonstrated to be important in PDI-catalyzed disulfide isomerization. We have found that other proteins containing these thioredoxin-like active site sequences do not bind the photoreactive peptide probes. Moreover, although chemical modification of the 2 cysteines within the thioredoxin-like active site regions completely inhibits PDI-catalyzed disulfide isomerization, these modifications do not affect peptide binding by PDI. Both of these observations suggest that peptide binding occurs at a site other than the putative PDI active sites. To localize the site in PDI at which binding occurs, we used a radiolabeled peptide photoaffinity probe. Peptide fragments generated by cleavage of 125I-peptide-labeled PDI with cyanogen bromide yielded a single 8-kDa polypeptide fragment containing the 125I-labeled peptide site, but neither of the putative catalytic sites of PDI. An 125I-labeled tryptic peptide was generated from this cyanogen bromide fragment and determined by microsequencing to contain residues 451-476 of PDI; this 26-residue peptide is noteworthy because of its extremely high content of acidic amino acids. Based on these findings we conclude that the peptide binding site is located in the COOH-terminal domain of the protein, and it is distinct from the two active sites for PDI-catalyzed disulfide isomerization and from the region of PDI that has estrogen receptor sequence similarity.

Amino Acid Sequence↗

The H-2Kk MHC peptide-binding groove anchors the backbone of an octameric antigenic peptide in an unprecedented mode.

A wealth of data has accumulated on the structure of mouse MHC class I (MHCI) molecules encoded by the H-2(b) and H-2(d) haplotypes. In contrast, there is a dearth of structural data regarding H-2(k)-encoded molecules. Therefore, the structures of H-2K(k) complexed to an octameric peptide from influenza A virus (HA(259-266)) and to a nonameric peptide from SV40 (SV40(560-568)) have been determined by x-ray crystallography at 2.5 and 3.0 A resolutions, respectively. The structure of the H-2K(k)-HA(259-266) complex reveals that residues located on the floor of the peptide-binding groove contact directly the backbone of the octameric peptide and force it to lie deep within the H-2K(k) groove. This unprecedented mode of peptide binding occurs despite the presence of bulky residues in the middle of the floor of the H-2K(k) peptide-binding groove. As a result, the Calpha atoms of peptide residues P5 and P6 are more buried than the corresponding residues of H-2K(b)-bound octapeptides, making them even less accessible to TCR contact. When bound to H-2K(k), the backbone of the SV40(560-568) nonapeptide bulges out of the peptide-binding groove and adopts a conformation reminiscent of that observed for peptides bound to H-2L(d). This structural convergence occurs despite the totally different architectures of the H-2L(d) and H-2K(k) peptide-binding grooves. Therefore, these two H-2K(k)-peptide complexes provide insights into the mechanisms through which MHC polymorphism outside primary peptide pockets influences the conformation of the bound peptides and have implications for TCR recognition and vaccine design.

Animals↗

The HLA-B14 peptide binding site can accommodate peptides with different combinations of anchor residues.

Most peptides that bind to a particular major histocompatibility complex class I molecule share amino acid residues important for binding at one or two positions. Sequence analyses of peptides bound to HLA-B14 revealed at least four candidates for these so-called anchor residues: Arg at P2, Tyr at P3, Arg at P5, and Leu at P9. Combinations of any three of these amino acids sufficed for binding to HLA-B14 in vitro. Using this information, we identified an antigenic peptide critical for cytotoxic T lymphocyte recognition of virus-infected cells. Molecular models of HLA-B14 peptide complexes were constructed to investigate how the potential anchor residues might function. By using binding data to calculate the contribution to binding of each amino acid at anchor positions and predicting the stability of all possible nonapeptide complexes that could be formed from antigenic proteins, we estimate that three known antigenic nonapeptides are in the highest affinity cohort of peptides. Thus, even when multiple combinations of anchor residues contribute to binding, antigenic peptides are routinely identifiable.

Alanine↗

Exogenous beta 2-microglobulin is required for antigenic peptide binding to isolated class I major histocompatibility complex molecules.

Binding of antigenic peptides to purified class I major histocompatibility complex (MHC) molecules, as measured by antigen-specific cytolytic T lymphocyte (CTL) degranulation, was found to occur in the presence of serum but not in its absence. The role of soluble beta 2-microglobulin (beta 2m), a normal component of serum, in class I-peptide complex formation was therefore examined. Sera depleted of beta 2m did not support effective peptide binding to class I, but binding was restored in the presence of low concentrations of purified human beta 2m. Sequential incubation of immobilized class I with human beta 2m first, followed by peptide, resulted in antigenic complex formation, while reversing the order of pulsing could not. Similar results were obtained in experiments examining H-2Db, Kb and Kd with appropriate peptides and CTL. These results demonstrate that mature class I proteins are not able to directly bind peptide, but that interaction with exogenous beta 2m results in a structure that will subsequently bind peptide. Binding of exogenous beta 2m appears to result in "empty" class I molecules, possibly by exchange for endogenous beta 2m, with a concomitant loss of endogenous peptide.

Animals↗

The COOH-terminal peptide binding domain is essential for self-association of the molecular chaperone HSC70.

We have previously shown that the molecular chaperone HSC70 self-associates in solution into dimers, trimers, and probably high order oligomers, according to a slow temperature- and concentration-dependent equilibrium that is shifted toward the monomer upon binding of ATP peptides or unfolded proteins. To determine the structural basis of HSC70 self-association, the oligomerization properties of the isolated amino- and carboxyl-terminal domains of this protein have been analyzed by gel electrophoresis, size exclusion chromatography, and analytical ultracentrifugation. Whereas the amino-terminal ATPase domain (residues 1-384) was found to be monomeric in solution even at high concentrations, the carboxyl-terminal peptide binding domain (residues 385-646) exists as a slow temperature- and concentration-dependent equilibrium involving monomers, dimers, and trimers. The association equilibrium constant obtained for this domain alone is on the order of 10(5) M-1, very close to that determined previously for the entire protein, suggesting that self-association of HSC70 is determined solely by its carboxyl-terminal domain. Furthermore, oligomerization of the isolated carboxyl-terminal peptide binding domain is, like that of the entire protein, reversed by peptide binding, indicating that self-association of the protein may be mediated by the peptide binding site and, as such, should play a role in the regulation of HSC70 chaperone function. A general model for self-association of HSP70 is proposed in which the protein is in equilibrium between two states differing by the conformation of their carboxyl-terminal domain and their self-association properties.

Binding Sites↗

Recognition of transition metal ions by peptides. Identification of specific metal-binding peptides in proteolytic digest maps by UV laser desorption time-of-flight mass spectrometry.

Metal-binding peptides in proteolytic digest maps have been identified by matrix-assisted UV laser desorption time-of-flight mass spectrometry (LDTOF-MS). The plasma and milk metal transport protein chosen to demonstrate this process, histidine-rich glycoprotein (HRG), was purified and then digested with trypsin; the cleavage products were analyzed by LDTOF-MS with dihydroxybenzoic acid as the matrix. The selective interaction of specific peptides with one or more Cu atoms was observed when Cu(II) ions were added to the digest mixture. At least one specific metal-binding peptide was identified by computerized sequence analysis using the molecular mass data and available cDNA sequence. These results demonstrate the first direct observation by mass spectrometry of differential peptide-metal ion interactions in protein digest maps. The ability to evaluate peptide-metal ion interactions, including stoichiometry, with less than 1 pmol of sample improves significantly our ability to identify metal binding domains in metal-binding proteins.

Amino Acid Sequence↗

Insulin-binding peptide. Design and characterization.

The design and characterization of a six-amino acid-containing peptide that binds insulin is described. The amino acid sequence of the insulin-binding peptide (IBP) was determined from the strand of DNA complementary to the strand of DNA coding for the insulin molecule in the domain of the insulin monomer believed to interact with the insulin receptor. The IBP (Cys-Val-Glu-Glu-Ala-Ser) binds specifically to insulin in a saturable manner with a Kd of 3 nM. This binding process is time dependent and slightly temperature dependent, and the peptide appears to interact with insulin near the carboxyl terminus of the B-chain of insulin. Incubation of insulin with the peptide decreases insulin binding to the insulin receptor by 50%, with no effect on the affinity of insulin for the receptor and no effect on cellular insulin-stimulated deoxyglucose uptake. A polyclonal antibody produced against the IBP will inhibit specific insulin binding to intact cells by approximately 50%, with no effects on insulin-stimulated glucose uptake. From this data, we suggest that there are at least two domains of the insulin molecule through which it interacts with its receptor, the "binding region" of insulin, which is the domain blocked by the IBP, and the "message region" of insulin, through which insulin not only binds to the receptor, but also generates the cellular signal.

Adipose Tissue↗

SPOT synthesis: reliability of array-based measurement of peptide binding affinity.

Peptide arrays prepared by the SPOT synthesis technology have emerged as a proteomic tool to study molecular recognition and identify biologically active peptides. However, it was previously not clear how accurately signal intensities obtained by probing peptide arrays for protein binding really reflect the dissociation constants of the protein-peptide complexes. Using the monoclonal antibody CB4-1 as a model system, we systematically compared dissociation constants of antibody-peptide complexes with signal intensities obtained using the SPOT technology. By analyzing a set of peptides possessing different affinities to the antibody, we determined the strengths of the SPOT screening method. The accuracy of the measured results was improved by taking regional trends in the membrane surface into account. A model based on the mass action law compares well with the experimental results. Interestingly, the applied concentrations of the binding partners do not directly correspond to the effective concentrations in the assay. We show that the SPOT technology is an accurate method for assigning the spots' measured signal intensities to three different binding affinity classes. The dissociation constants of the intermediate region were found to be between pK(dis)=5 and pK(dis)=7. Altering the experimental parameters causes a directed change of this region.

Antibodies, Monoclonal↗

Analysis of two acidic P6 pocket residues in the pH dependency of peptide binding by I-E(k).

Peptide binding to major histocompatibility complex (MHC) class II molecules is optimal at mildly acidic pH. X-ray crystal structures solved for the murine class II molecule I-E(k) revealed an interesting localization of negatively charged residues within the P6 pocket, which may have implications in the pH dependency of peptide binding. Protonation of these critical residues, under acidic conditions, has been proposed to be important for the formation of stable class II-peptide complexes. In this study, we address a possible role for these charged residues in the pH dependency of peptide binding. An I-E(k) mutant was generated in which two acidic residues of the P6 pocket were substituted with uncharged residues. This class II mutant was expressed, purified, and tested for its ability to bind peptides. The mutant I-E(k) was observed to load peptides optimally at mildly acidic pH. Peptide binding to the mutant was enhanced in the presence of DM, and optimal DM-enhanced binding occurred in the acidic pH range. These findings indicate that structural changes other than protonation of acidic residues in pocket 6 must play a dominant role in pH-regulated peptide binding to I-E(k).

Animals↗

Analysis of peptide binding patterns in different major histocompatibility complex/T cell receptor complexes using pigeon cytochrome c-specific T cell hybridomas. Evidence that a single peptide binds major histocompatibility complex in different conformations.

The interaction of TCR, antigen, and MHC complex has been analyzed using synthetic peptide antigens and a series of single amino acid-substituted analogues. Two similar antigens, mouse cytochrome c (mcyt c) and pigeon cytochrome c (pcyt c), elicit T cell responses in strains of mice bearing MHC class II Ek beta Ek alpha (B10.A), Eb beta Ek alpha [B10.A(5R)], and Es beta Ek alpha [B10.S(9R)]. The immunogenic regions of these antigens are located in the peptide sequence p88-104 for pcyt c and m88-103 for mcyt c. The limited T cell repertoire for these antigens is comprised of four groups of T cell phenotypes that have very few differences in their TCR gene make up. In this paper, we examine the diversity in their fine specificity for each of the antigens, m88-103 and p88-104, complexed with each of the I-Ek haplotypes. Epitopes, i.e., residues that interact with the TCR, and agretopes, i.e., residues in the MHC-binding site, were assigned for the two peptide antigens in the presence of APC bearing E beta kEk alpha, Eb beta Ek alpha, or Eb beta Ek alpha using T cell hybridomas of the phenotypes I, IIIa, and IV. From our results, we conclude that first, the substitution of any residue between 95 and 104 of the cytochrome c peptide changed the antigenic potency of the peptide for at least one of the hybridomas. Second, each T cell type has a different recognition pattern of epitopes and agretopes for a particular antigen-MHC complex, thus, ruling out a static model of T cell recognition, which assigns certain, invariant agretopic residues to the peptide by which it interacts with the MHC molecule independently of the TCR. Third, the same T cell hybridoma responded to the antigens differently when presented on various MHC molecules, implying that overall changes in the MHC groove, as displayed by the three haplotypes, may affect the efficiency in binding the peptide. Fourth, since most of the residues are used as epitopes by at least one of the T cell specificities, the peptide appears to be recognized in a different conformation by each T cell hybridoma phenotype; and, finally, the epitopic and agretopic residues do not segregate, for any one of the T cell specificities, in such a way that suggests they are recognized in a helical conformation. In summary, our results suggest that a single peptide may generate diversity in the T cell response by virtue of its conformational flexibility within the TCR-MHC-antigen complex.

Amino Acid Sequence↗

[Biosynthesis of human calcitonin and mini-proinsulin in bacterial cells in the form of hybrid proteins with corresponding antisense peptides and a metal-binding peptide].

To verify experimentally the molecular recognition theory, plasmids were constructed that provided the efficient synthesis of hybrid proteins composed of human calcitonin or miniproinsulin, the corresponding antisense peptides, and a histidine-rich metal-binding peptide. A method for isolation of the hybrid proteins by metal-chelating chromatography, cleavage, and renaturation was developed.

Amino Acid Sequence↗

The impact of DR3 microvariation on peptide binding: the combinations of specific DR beta residues critical to binding differ for different peptides.

HLA-DR molecules are a group of highly polymorphic glycoprotein heterodimers that present peptide antigens to T lymphocytes for immune surveillance. To assess the significance of limited polymorphism on the functional differentiation of DR molecules, the binding of several immunogenic peptides to the DR3 microvariants [DR(alpha, beta 1*0302) and DR(alpha, beta 1*0301)] and to mutants of these DR3 molecules was examined. This analysis has shown that each residue (DR beta 26, DR beta 28, DR beta 47, and DR beta 86), which differentiates these two DR3 molecules, contributes to their functional distinction and that the relative contribution of each residue varies for different peptide/DR3 complexes. For example, DR beta 28 and DR beta 86 controlled the mycobacterium tuberculosis 65-kD heat shock protein peptides 3-13 and 4-15 (HSP) binding specificity to DR (alpha, beta 1*0301). [HSP does not bind to DR(alpha, beta 1*0302)], whereas DR beta 26, DR beta 28, and DR beta 86 controlled the influenza hemagglutinin peptide 306-318 (HA) binding specificity to DR(alpha, beta 1*0302). [HA does not bind to DR(alpha, beta 1*0301).] In comparison, DR beta 86 alone controlled the binding level difference of sperm whale myoglobin peptide 132-151 (SWM) and of myelin basic protein peptide 152-170 (MBP) [both bind to DR(alpha, beta 1*0301) at levels five times greater than to DR(alpha, beta 1*0302)] to the DR3 molecules. Although not critical, additional DR beta residues influenced the binding level of individual peptides of each of the DR3 molecules and, again, the combinations of these residues differed for different peptide/DR3 complexes. These data showed that individual DR residues vary in their relative contribution to the interaction between a specific DR molecule and different peptides and that limited polymorphism can create substantial differences in the peptide binding profiles among DR molecules.

Amino Acid Sequence↗

SVMHC: a server for prediction of MHC-binding peptides.

Identification of MHC-binding peptides is a prerequisite in rational design of T-cell based peptide vaccines. During the past decade a number of computational approaches have been introduced for the prediction of MHC-binding peptides, efficiently reducing the number of candidate binders that need to be experimentally verified. Here the SVMHC server for prediction of both MHC class I and class II binding peptides is presented. SVMHC offers fast analysis of a wide range of alleles and prediction results are given in several comprehensive formats. The server can be used to find the most likely binders in a protein sequence and to investigate the effects of single nucleotide polymorphisms in terms of MHC-peptide binding. The SVMHC server is accessible at http://www-bs.informatik.uni-tuebingen.de/SVMHC/.

Alleles↗

Cellular mechanisms of artificial peptides binding to HLA.

On the basis of the consideration that cell-free models cannot precisely mimic the complexity of the intracellular environment, we used a system to investigate the mechanisms that enable antigen-presenting cells (APC) to bind exogenous peptides through their human leukocyte antigen (HLA) molecules. We evaluated the uptake of the radiolabeled peptide 17-29-Tyr of influenza virus matrix protein by B-EBV cell lines, under various conditions. The results can be summarized as follows: a) the kinetics of peptide binding and release are very fast in living, fully competent cells; b) the peptide-HLA complexes are short-living and the DR molecules continuously undergo peptidic exchange; c) using glutaraldehyde-fixed cells, the kinetics of the two phenomena are slow, closely resembling those observed with the same peptide and purified, immobilized DR molecules. The data suggest that in APC, cellular mechanisms are operative that increase the efficiency of both loading and unloading of Class II HLA with exogenous peptides. This is likely to be related to the recycling of Class II molecules to intracellular compartments, were binding takes place. The observation that the HLA-peptide complex is a dynamic structure, suggests the possibility of replacing natural peptides with synthetic ones at this level, in order to regulate the immune response.

Antigen-Presenting Cells↗

Toward cell-targeting gene therapy vectors: selection of cell-binding peptides from random peptide-presenting phage libraries.

Ideal gene therapy vectors would be delivered intravenously to transfect only specific cells. Existing vectors only transfect cells in vivo in a manner determined by blood flow and the site of introduction. As a general and systematic approach for generating cell-targeting ligands for gene therapy vectors, we have used peptide-presenting phage libraries to select peptides that bind and enter several different cell types. Because of their small size, cell-binding peptides such as these could be incorporated into biological or physical gene therapy vectors. In addition, peptide-presenting phage themselves may also be candidates for gene therapy vectors.

Amino Acid Sequence↗

Peptide binding to HLA-DR1: a peptide with most residues substituted to alanine retains MHC binding.

Major histocompatibility complex (MHC) glycoproteins play an important role in the development of an effective immune response. An important MHC function is the ability to bind and present 'processed antigens' (peptides) to T cells. We show here that the purified human class II MHC molecule, HLA-DR1, binds peptides that have been shown to be immunogenic in vivo. Detergent-solubilized HLA-DR1 and a papain-cleaved form of the protein lacking the transmembrane and intracellular regions have similar peptide binding properties. A total of 39 single substitutions were made throughout an HLA-DR1 restricted hemagglutinin epitope and the results determine one amino acid in this peptide which is crucial to binding. Based on this analysis, a synthetic peptide was designed containing two residues from the original hemagglutinin epitope embedded in a chain of polyalanine. This peptide binds to HLA-DR1, indicating that the majority of peptide side chains are not required for high affinity peptide binding.

Alanine↗