Ontology highlight
ABSTRACT: Summary
We present an approach for the efficient docking of peptide motifs to their free receptor structures. Using a motif based search, we can retrieve structural fragments from the Protein Data Bank (PDB) that are very similar to the peptide's final, bound conformation. We use a Fast Fourier Transform (FFT) based docking method to quickly perform global rigid body docking of these fragments to the receptor. According to CAPRI peptide docking criteria, an acceptable conformation can often be found among the top-ranking predictions.Availability and implementation
The method is available as part of the protein-protein docking server ClusPro at https://peptidock.cluspro.org/nousername.php.Contact
midas@laufercenter.org or oraf@ekmd.huji.ac.il.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Porter KA
PROVIDER: S-EPMC5860028 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Porter Kathryn A KA Xia Bing B Beglov Dmitri D Bohnuud Tanggis T Alam Nawsad N Schueler-Furman Ora O Kozakov Dima D
Bioinformatics (Oxford, England) 20171001 20
<h4>Summary</h4>We present an approach for the efficient docking of peptide motifs to their free receptor structures. Using a motif based search, we can retrieve structural fragments from the Protein Data Bank (PDB) that are very similar to the peptide's final, bound conformation. We use a Fast Fourier Transform (FFT) based docking method to quickly perform global rigid body docking of these fragments to the receptor. According to CAPRI peptide docking criteria, an acceptable conformation can of ...[more]