OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization-Reference-Cited by-同舟云学术

OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization

Published:2024-05-14 Issue:8 Volume:21 Page:1514-1524
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Ahdritz Gustaf^ORCID,Bouatta Nazim^ORCID,Floristean Christina,Kadyan Sachin,Xia Qinghui,Gerecke William,O’Donnell Timothy J.,Berenberg Daniel,Fisk Ian,Zanichelli Niccolò,Zhang Bo^ORCID,Nowaczynski Arkadiusz,Wang Bei,Stepniewska-Dziubinska Marta M.,Zhang Shang,Ojewole Adegoke^ORCID,Guney Murat Efe,Biderman Stella,Watkins Andrew M.,Ra Stephen,Lorenzo Pablo Ribalta,Nivon Lucas,Weitzner Brian^ORCID,Ban Yih-En Andrew,Chen Shiyang^ORCID,Zhang Minjia,Li Conglong,Song Shuaiwen Leon,He Yuxiong,Sorger Peter K.^ORCID,Mostaque Emad,Zhang Zhao^ORCID,Bonneau Richard,AlQuraishi Mohammed^ORCID

Funder

U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences

U.S. Department of Health & Human Services | NIH | National Cancer Institute

National Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41592-024-02272-z.pdf

Reference67 articles.

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5. Wang, S., Sun, S., Li, Z., Zhang, R. & Xu, J. Accurate de novo prediction of protein contact map by ultra-deep learning model. PLoS Comput. Biol. 13, e1005324 (2017).

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