Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy.

ABSTRACT:

Background

Protein-protein interactions play a crucial role in almost all cellular processes. Identifying interacting proteins reveals insight into living organisms and yields novel drug targets for disease treatment. Here, we present a publicly available, automated pipeline to predict genome-wide protein-protein interactions and produce high-quality multimeric structural models.

Results

Application of our method to the Human and Yeast genomes yield protein-protein interaction networks similar in quality to common experimental methods. We identified and modeled Human proteins likely to interact with the papain-like protease of SARS-CoV2's non-structural protein 3. We also produced models of SARS-CoV2's spike protein (S) interacting with myelin-oligodendrocyte glycoprotein re

SUBMITTER: Guerler A 

PROVIDER: S-EPMC10288729 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature