Predicting protein-peptide interaction sites using distant protein complexes as structural templates.

ABSTRACT: Protein-peptide interactions play an important role in major cellular processes, and are associated with several human diseases. To understand and potentially regulate these cellular function and diseases it is important to know the molecular details of the interactions. However, because of peptide flexibility and the transient nature of protein-peptide interactions, peptides are difficult to study experimentally. Thus, computational methods for predicting structural information about protein-peptide interactions are needed. Here we present InterPep, a pipeline for predicting protein-peptide interaction sites. It is a novel pipeline that, given a protein structure and a peptide sequence, utilizes structural template matches, sequence information, random forest machine learning, and hierarc

SUBMITTER: Johansson-Akhe I 

PROVIDER: S-EPMC6414505 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature