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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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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. |
format | Online Article Text |
id | pubmed-9759050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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