The Usage of ACCLUSTER for Peptide Binding Site Prediction

Methods Mol Biol. 2017:1561:3-9. doi: 10.1007/978-1-4939-6798-8_1.

Abstract

Peptides mediate up to 40 % of protein-protein interactions in a variety of cellular processes and are also attractive drug candidates. Thus, predicting peptide binding sites on the given protein structure is of great importance for mechanistic investigation of protein-peptide interactions and peptide therapeutics development. In this chapter, we describe the usage of our web server, referred to as ACCLUSTER, for peptide binding site prediction for a given protein structure. ACCLUSTER is freely available for users without registration at http://zougrouptoolkit.missouri.edu/accluster .

Keywords: Binding site prediction; Molecular docking; Protein–peptide interaction.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Binding Sites
  • Databases, Protein*
  • Eukaryota / chemistry
  • Eukaryota / metabolism
  • Humans
  • Molecular Docking Simulation
  • Peptide Fragments / chemistry
  • Peptide Fragments / metabolism*
  • Proteins / chemistry
  • Proteins / metabolism*
  • Software
  • Web Browser

Substances

  • Peptide Fragments
  • Proteins