DeepRank: a deep learning framework for data mining 3D protein-protein interfaces
The authors present DeepRank, a deep learning framework for the data mining of large sets of 3D protein-protein interfaces (PPI). They use DeepRank to address two challenges in structural biology: distinguishing biological versus crystallographic PPIs in crystal structures, and secondly the ranking...
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Nature Portfolio
2021
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oai:doaj.org-article:b5e9d64b96e1438795a4aebfc8e1dd1c2021-12-05T12:22:28ZDeepRank: a deep learning framework for data mining 3D protein-protein interfaces10.1038/s41467-021-27396-02041-1723https://doaj.org/article/b5e9d64b96e1438795a4aebfc8e1dd1c2021-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-27396-0https://doaj.org/toc/2041-1723The authors present DeepRank, a deep learning framework for the data mining of large sets of 3D protein-protein interfaces (PPI). They use DeepRank to address two challenges in structural biology: distinguishing biological versus crystallographic PPIs in crystal structures, and secondly the ranking of docking models.Nicolas RenaudCunliang GengSonja GeorgievskaFrancesco AmbrosettiLars RidderDario F. MarzellaManon F. RéauAlexandre M. J. J. BonvinLi C. XueNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-8 (2021) |
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Science Q Nicolas Renaud Cunliang Geng Sonja Georgievska Francesco Ambrosetti Lars Ridder Dario F. Marzella Manon F. Réau Alexandre M. J. J. Bonvin Li C. Xue DeepRank: a deep learning framework for data mining 3D protein-protein interfaces |
description |
The authors present DeepRank, a deep learning framework for the data mining of large sets of 3D protein-protein interfaces (PPI). They use DeepRank to address two challenges in structural biology: distinguishing biological versus crystallographic PPIs in crystal structures, and secondly the ranking of docking models. |
format |
article |
author |
Nicolas Renaud Cunliang Geng Sonja Georgievska Francesco Ambrosetti Lars Ridder Dario F. Marzella Manon F. Réau Alexandre M. J. J. Bonvin Li C. Xue |
author_facet |
Nicolas Renaud Cunliang Geng Sonja Georgievska Francesco Ambrosetti Lars Ridder Dario F. Marzella Manon F. Réau Alexandre M. J. J. Bonvin Li C. Xue |
author_sort |
Nicolas Renaud |
title |
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces |
title_short |
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces |
title_full |
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces |
title_fullStr |
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces |
title_full_unstemmed |
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces |
title_sort |
deeprank: a deep learning framework for data mining 3d protein-protein interfaces |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/b5e9d64b96e1438795a4aebfc8e1dd1c |
work_keys_str_mv |
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