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Uncovering new aspects of protein interactions through analysis of specificity landscapes in peptide recognition domains.
Protein interactions underlie all biological processes. An important class of protein interactions, often observed in signaling pathways, consists of peptide recognition domains binding short protein segments on the surface of their target proteins. Recent developments in experimental techniques have uncovered many such interactions and shed new lights on their specificity. To analyze these data, novel computational methods have been introduced that can accurately describe the specificity landscape of peptide recognition domains and predict new interactions. Combining large-scale analysis of binding specificity data with structure-based modeling can further reveal new biological insights into the molecular recognition events underlying signaling pathways.
Amino Acid Sequence, Animals, Computational Biology/methods, Humans, Markov Chains, Models, Statistical, Molecular Sequence Data, Peptides/chemistry, Protein Binding, Protein Conformation, Protein Interaction Mapping/methods, Protein Structure, Tertiary, Sequence Homology, Amino Acid, Signal Transduction, src Homology Domains
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