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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hou, Yingnan, Xie, Tengyu, He, Liuqing, Tao, Liang, Huang, Jing
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