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PepComposer: computational design of peptides binding to a given protein surface.
Obarska-Kosinska, Agnieszka; Iacoangeli, Alfredo; Lepore, Rosalba; Tramontano, Anna.
Afiliación
  • Obarska-Kosinska A; Department of Physics, Sapienza University, Piazzale Aldo Moro, 5-00184 Rome, Italy.
  • Iacoangeli A; Department of Physics, Sapienza University, Piazzale Aldo Moro, 5-00184 Rome, Italy.
  • Lepore R; Department of Physics, Sapienza University, Piazzale Aldo Moro, 5-00184 Rome, Italy alba.lepore@uniroma1.it.
  • Tramontano A; Department of Physics, Sapienza University, Piazzale Aldo Moro, 5-00184 Rome, Italy Istituto Pasteur-Fondazione Cenci Bolognetti, Viale Regina Elena 291, 00161 Rome, Italy.
Nucleic Acids Res ; 44(W1): W522-8, 2016 07 08.
Article en En | MEDLINE | ID: mdl-27131789
ABSTRACT
There is a wide interest in designing peptides able to bind to a specific region of a protein with the aim of interfering with a known interaction or as starting point for the design of inhibitors. Here we describe PepComposer, a new pipeline for the computational design of peptides binding to a given protein surface. PepComposer only requires the target protein structure and an approximate definition of the binding site as input. We first retrieve a set of peptide backbone scaffolds from monomeric proteins that harbor the same backbone arrangement as the binding site of the protein of interest. Next, we design optimal sequences for the identified peptide scaffolds. The method is fully automatic and available as a web server at http//biocomputing.it/pepcomposer/webserver.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Proteínas / Diseño Asistido por Computadora Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2016 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Péptidos / Programas Informáticos / Proteínas / Diseño Asistido por Computadora Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2016 Tipo del documento: Article País de afiliación: Italia