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MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions
Missense mutations may affect proteostasis by destabilizing or over-stabilizing protein complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on protein-protein interactions is notoriously difficult because existing experimental sets are skewed toward mutations red...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068639/ https://www.ncbi.nlm.nih.gov/pubmed/32169820 http://dx.doi.org/10.1016/j.isci.2020.100939 |
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author | Zhang, Ning Chen, Yuting Lu, Haoyu Zhao, Feiyang Alvarez, Roberto Vera Goncearenco, Alexander Panchenko, Anna R. Li, Minghui |
author_facet | Zhang, Ning Chen, Yuting Lu, Haoyu Zhao, Feiyang Alvarez, Roberto Vera Goncearenco, Alexander Panchenko, Anna R. Li, Minghui |
author_sort | Zhang, Ning |
collection | PubMed |
description | Missense mutations may affect proteostasis by destabilizing or over-stabilizing protein complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on protein-protein interactions is notoriously difficult because existing experimental sets are skewed toward mutations reducing protein-protein binding affinity and many computational methods fail to correctly evaluate their effects. To address this issue, we developed a method MutaBind2, which estimates the impacts of single as well as multiple mutations on protein-protein interactions. MutaBind2 employs only seven features, and the most important of them describe interactions of proteins with the solvent, evolutionary conservation of the site, and thermodynamic stability of the complex and each monomer. This approach shows a distinct improvement especially in evaluating the effects of mutations increasing binding affinity. MutaBind2 can be used for finding disease driver mutations, designing stable protein complexes, and discovering new protein-protein interaction inhibitors. |
format | Online Article Text |
id | pubmed-7068639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70686392020-03-18 MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions Zhang, Ning Chen, Yuting Lu, Haoyu Zhao, Feiyang Alvarez, Roberto Vera Goncearenco, Alexander Panchenko, Anna R. Li, Minghui iScience Article Missense mutations may affect proteostasis by destabilizing or over-stabilizing protein complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on protein-protein interactions is notoriously difficult because existing experimental sets are skewed toward mutations reducing protein-protein binding affinity and many computational methods fail to correctly evaluate their effects. To address this issue, we developed a method MutaBind2, which estimates the impacts of single as well as multiple mutations on protein-protein interactions. MutaBind2 employs only seven features, and the most important of them describe interactions of proteins with the solvent, evolutionary conservation of the site, and thermodynamic stability of the complex and each monomer. This approach shows a distinct improvement especially in evaluating the effects of mutations increasing binding affinity. MutaBind2 can be used for finding disease driver mutations, designing stable protein complexes, and discovering new protein-protein interaction inhibitors. Elsevier 2020-02-27 /pmc/articles/PMC7068639/ /pubmed/32169820 http://dx.doi.org/10.1016/j.isci.2020.100939 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Zhang, Ning Chen, Yuting Lu, Haoyu Zhao, Feiyang Alvarez, Roberto Vera Goncearenco, Alexander Panchenko, Anna R. Li, Minghui MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions |
title | MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions |
title_full | MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions |
title_fullStr | MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions |
title_full_unstemmed | MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions |
title_short | MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions |
title_sort | mutabind2: predicting the impacts of single and multiple mutations on protein-protein interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068639/ https://www.ncbi.nlm.nih.gov/pubmed/32169820 http://dx.doi.org/10.1016/j.isci.2020.100939 |
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