Cargando…
Topological links in predicted protein complex structures reveal limitations of AlphaFold
AlphaFold is making great progress in protein structure prediction, not only for single-chain proteins but also for multi-chain protein complexes. When using AlphaFold-Multimer to predict protein‒protein complexes, we observed some unusual structures in which chains are looped around each other to f...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613300/ https://www.ncbi.nlm.nih.gov/pubmed/37898666 http://dx.doi.org/10.1038/s42003-023-05489-4 |
_version_ | 1785128801650343936 |
---|---|
author | Hou, Yingnan Xie, Tengyu He, Liuqing Tao, Liang Huang, Jing |
author_facet | Hou, Yingnan Xie, Tengyu He, Liuqing Tao, Liang Huang, Jing |
author_sort | Hou, Yingnan |
collection | PubMed |
description | AlphaFold is making great progress in protein structure prediction, not only for single-chain proteins but also for multi-chain protein complexes. When using AlphaFold-Multimer to predict protein‒protein complexes, we observed some unusual structures in which chains are looped around each other to form topologically intertwining links at the interface. Based on physical principles, such topological links should generally not exist in native protein complex structures unless covalent modifications of residues are involved. Although it is well known and has been well studied that protein structures may have topologically complex shapes such as knots and links, existing methods are hampered by the chain closure problem and show poor performance in identifying topologically linked structures in protein‒protein complexes. Therefore, we address the chain closure problem by using sliding windows from a local perspective and propose an algorithm to measure the topological–geometric features that can be used to identify topologically linked structures. An application of the method to AlphaFold-Multimer-predicted protein complex structures finds that approximately 1.72% of the predicted structures contain topological links. The method presented in this work will facilitate the computational study of protein‒protein interactions and help further improve the structural prediction of multi-chain protein complexes. |
format | Online Article Text |
id | pubmed-10613300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106133002023-10-30 Topological links in predicted protein complex structures reveal limitations of AlphaFold Hou, Yingnan Xie, Tengyu He, Liuqing Tao, Liang Huang, Jing Commun Biol Article AlphaFold is making great progress in protein structure prediction, not only for single-chain proteins but also for multi-chain protein complexes. When using AlphaFold-Multimer to predict protein‒protein complexes, we observed some unusual structures in which chains are looped around each other to form topologically intertwining links at the interface. Based on physical principles, such topological links should generally not exist in native protein complex structures unless covalent modifications of residues are involved. Although it is well known and has been well studied that protein structures may have topologically complex shapes such as knots and links, existing methods are hampered by the chain closure problem and show poor performance in identifying topologically linked structures in protein‒protein complexes. Therefore, we address the chain closure problem by using sliding windows from a local perspective and propose an algorithm to measure the topological–geometric features that can be used to identify topologically linked structures. An application of the method to AlphaFold-Multimer-predicted protein complex structures finds that approximately 1.72% of the predicted structures contain topological links. The method presented in this work will facilitate the computational study of protein‒protein interactions and help further improve the structural prediction of multi-chain protein complexes. Nature Publishing Group UK 2023-10-28 /pmc/articles/PMC10613300/ /pubmed/37898666 http://dx.doi.org/10.1038/s42003-023-05489-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Hou, Yingnan Xie, Tengyu He, Liuqing Tao, Liang Huang, Jing Topological links in predicted protein complex structures reveal limitations of AlphaFold |
title | Topological links in predicted protein complex structures reveal limitations of AlphaFold |
title_full | Topological links in predicted protein complex structures reveal limitations of AlphaFold |
title_fullStr | Topological links in predicted protein complex structures reveal limitations of AlphaFold |
title_full_unstemmed | Topological links in predicted protein complex structures reveal limitations of AlphaFold |
title_short | Topological links in predicted protein complex structures reveal limitations of AlphaFold |
title_sort | topological links in predicted protein complex structures reveal limitations of alphafold |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613300/ https://www.ncbi.nlm.nih.gov/pubmed/37898666 http://dx.doi.org/10.1038/s42003-023-05489-4 |
work_keys_str_mv | AT houyingnan topologicallinksinpredictedproteincomplexstructuresreveallimitationsofalphafold AT xietengyu topologicallinksinpredictedproteincomplexstructuresreveallimitationsofalphafold AT heliuqing topologicallinksinpredictedproteincomplexstructuresreveallimitationsofalphafold AT taoliang topologicallinksinpredictedproteincomplexstructuresreveallimitationsofalphafold AT huangjing topologicallinksinpredictedproteincomplexstructuresreveallimitationsofalphafold |