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Fast and accurate genome-wide predictions and structural modeling of protein-protein interactions using Galaxy
2021.
Preprint in English | Other preprints | ID: ppcovidwho-294859
ABSTRACT
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. 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 (Nsp3). We also produced models of SARS-CoV2’s spike protein (S) interacting with myelin-oligodendrocyte glycoprotein receptor (MOG) and dipeptidyl peptidase-4 (DPP4). The presented method is capable of confidently identifying interactions while providing high-quality multimeric structural models for experimental validation. The interactome modeling pipeline is available at usegalaxy.org and usegalaxy.eu.

Full text: Available Collection: Preprints Database: Other preprints Type of study: Prognostic study Language: English Year: 2021 Document Type: Preprint

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Full text: Available Collection: Preprints Database: Other preprints Type of study: Prognostic study Language: English Year: 2021 Document Type: Preprint