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Current Medicinal Chemistry


ISSN (Print): 0929-8673
ISSN (Online): 1875-533X

Structure-Activity Relationships in Peptide-Antibody Complexes: Implications for Epitope Prediction and Development of Synthetic Peptide Vaccines

Author(s): Shu-wen W. Chen, Marc H.V. Van Regenmortel and Jean-Luc Pellequer

Volume 16, Issue 8, 2009

Page: [953 - 964] Pages: 12

DOI: 10.2174/092986709787581914

Price: $65


Interaction modes and molecular surface properties for both peptide- and protein-antibody complexes have been investigated. Datasets were constituted from the IMGT database and consisted of 37 peptide-antibody (PEPT) and 155 protein-antibody (PROT) complexes. A computer approach was developed to analyze the surface of peptides and proteins using a level set method which allows the characterization of shape complementarity using surface curvature. We found that in both datasets, the interacting surfaces of the two binding partners, exhibited a moderate degree of shape complementarity at the molecular level but not at the atomic level. We also evaluated the structural similarity between peptides bound to antibodies and the corresponding regions in the 3D structures of the cognate proteins. We found that no more than 25% of φ,ψ dihedral angles were conserved between the corresponding regions in peptides and proteins. We also superimposed the parent protein structure onto that of the bound peptides and visually looked for the presence of bumps or clashes between the cognate protein and the antibody. Except for antibodies possessing neutralizing activity and for those bound to a peptide longer than 30 residues, no superimposition in peptide-antibody complexes was found to be bump or clash-free. These findings indicate that studies restricted to continuous epitopes are unlikely to provide the information needed to design short linear peptides that could be expected to mimic satisfactorily the discontinuous epitopes of native proteins and be successful as synthetic vaccines.

Keywords: Synthetic vaccine, level set method, protein-protein interface, protein-ligand recognition, hot spots, structural bioinformatics, x-ray structures

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