PepComposer: computational design of peptides binding to a given protein surface

被引:51
作者
Obarska-Kosinska, Agnieszka [1 ]
Iacoangeli, Alfredo [1 ]
Lepore, Rosalba [1 ]
Tramontano, Anna [1 ,2 ]
机构
[1] Sapienza Univ, Dept Phys, Piazzale Aldo Moro 5, I-00184 Rome, Italy
[2] Fdn Cenci Bolognetti, Ist Pasteur, Viale Regina Elena 291, I-00161 Rome, Italy
关键词
STRUCTURAL MOTIFS; SPECIFICITY; PREDICTION; DISCOVERY; EFFICIENT; DATABASE; TARGET; DRUGS; LEADS;
D O I
10.1093/nar/gkw366
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
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.
引用
收藏
页码:W522 / W528
页数:7
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