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Peptide docking and structure-based characterization of peptide binding: from knowledge to know-how.
London, Nir; Raveh, Barak; Schueler-Furman, Ora.
Afiliação
  • London N; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
Curr Opin Struct Biol ; 23(6): 894-902, 2013 Dec.
Article em En | MEDLINE | ID: mdl-24138780
ABSTRACT
Peptide-mediated interactions are gaining increased attention due to their predominant roles in the many regulatory processes that involve dynamic interactions between proteins. The structures of such interactions provide an excellent starting point for their characterization and manipulation, and can provide leads for targeted inhibitor design. The relatively few experimentally determined structures of peptide-protein complexes can be complemented with an outburst of modeling approaches that have been introduced in recent years, with increasing accuracy and applicability to ever more systems. We review different methods to address the considerable challenges in modeling the binding of a short yet highly flexible peptide to its partner. These methods apply an array of sampling strategies and draw from a recent amassing of knowledge about the biophysical nature of peptide-protein interactions. We elaborate on applications of these structure-based approaches and in particular on the characterization of peptide binding specificity to different peptide-binding domains and enzymes. Such applications can identify new biological targets and thus complement our current view of protein-protein interactions in living organisms. Accurate peptide-protein docking is of particular importance in the light of increased appreciation of the crucial functional roles of disordered regions and the many linear binding motifs embedded within.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Simulação de Acoplamento Molecular Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Simulação de Acoplamento Molecular Idioma: En Ano de publicação: 2013 Tipo de documento: Article