Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1093/nar/gkw366 | NUCLEIC ACIDS RESEARCH |
Field | DocType | Volume |
Protein surface,Computational design,Open peer review,Computational biology | Journal | 44 |
Issue | ISSN | Citations |
W1 | 0305-1048 | 2 |
PageRank | References | Authors |
0.40 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Agnieszka Obarska-Kosinska | 1 | 2 | 0.40 |
| Alfredo Iacoangeli | 2 | 2 | 0.40 |
| Rosalba Lepore | 3 | 15 | 2.87 |
| Anna Tramontano | 4 | 69 | 6.80 |