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Protein–protein interaction prediction methods: from docking-based to AI-based approaches

Protein–protein interactions (PPIs), such as protein–protein inhibitor, antibody–antigen complex, and supercomplexes play diverse and important roles in cells. Recent advances in structural analysis methods, including cryo-EM, for the determination of protein complex structures are remarkable. Never...

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Detalles Bibliográficos
Autores principales: Tsuchiya, Yuko, Yamamori, Yu, Tomii, Kentaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759050/
https://www.ncbi.nlm.nih.gov/pubmed/36570321
http://dx.doi.org/10.1007/s12551-022-01032-7
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author Tsuchiya, Yuko
Yamamori, Yu
Tomii, Kentaro
author_facet Tsuchiya, Yuko
Yamamori, Yu
Tomii, Kentaro
author_sort Tsuchiya, Yuko
collection PubMed
description Protein–protein interactions (PPIs), such as protein–protein inhibitor, antibody–antigen complex, and supercomplexes play diverse and important roles in cells. Recent advances in structural analysis methods, including cryo-EM, for the determination of protein complex structures are remarkable. Nevertheless, much room remains for improvement and utilization of computational methods to predict PPIs because of the large number and great diversity of unresolved complex structures. This review introduces a wide array of computational methods, including our own, for estimating PPIs including antibody–antigen interactions, offering both historical and forward-looking perspectives.
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spelling pubmed-97590502022-12-19 Protein–protein interaction prediction methods: from docking-based to AI-based approaches Tsuchiya, Yuko Yamamori, Yu Tomii, Kentaro Biophys Rev Review Protein–protein interactions (PPIs), such as protein–protein inhibitor, antibody–antigen complex, and supercomplexes play diverse and important roles in cells. Recent advances in structural analysis methods, including cryo-EM, for the determination of protein complex structures are remarkable. Nevertheless, much room remains for improvement and utilization of computational methods to predict PPIs because of the large number and great diversity of unresolved complex structures. This review introduces a wide array of computational methods, including our own, for estimating PPIs including antibody–antigen interactions, offering both historical and forward-looking perspectives. Springer Berlin Heidelberg 2022-12-17 /pmc/articles/PMC9759050/ /pubmed/36570321 http://dx.doi.org/10.1007/s12551-022-01032-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Tsuchiya, Yuko
Yamamori, Yu
Tomii, Kentaro
Protein–protein interaction prediction methods: from docking-based to AI-based approaches
title Protein–protein interaction prediction methods: from docking-based to AI-based approaches
title_full Protein–protein interaction prediction methods: from docking-based to AI-based approaches
title_fullStr Protein–protein interaction prediction methods: from docking-based to AI-based approaches
title_full_unstemmed Protein–protein interaction prediction methods: from docking-based to AI-based approaches
title_short Protein–protein interaction prediction methods: from docking-based to AI-based approaches
title_sort protein–protein interaction prediction methods: from docking-based to ai-based approaches
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759050/
https://www.ncbi.nlm.nih.gov/pubmed/36570321
http://dx.doi.org/10.1007/s12551-022-01032-7
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