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Briefings in Bioinformatics logoLink to Briefings in Bioinformatics
. 2022 Mar 21;23(3):bbac130. doi: 10.1093/bib/bbac130

Expression of Concern to: OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors

Gang Xu 1,2,3, Qinghua Wang 4, Jianpeng Ma 5,6,7,
PMCID: PMC9116220  PMID: 35323875

Briefings in Bioinformatics issues an expression of concern related to: Gang Xu, Qinghua Wang, Jianpeng Ma, OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors, Briefings in Bioinformatics, Volume 23, Issue 1, January 2022, bbab529, https://doi.org/10.1093/bib/bbab529

It has been brought to our attention that the script used for side-chain accuracy evaluation was incorrect. The journal is publishing this Expression of Concern to alert readers that a full investigation and review is in progress.

Contributor Information

Gang Xu, Multiscale Research Institute of Complex Systems Fudan University Shanghai, 200433, China; Zhangjiang Fudan International Innovation Center Fudan University Shanghai, 201210, China; Shanghai AI Laboratory Shanghai, 200030, China.

Qinghua Wang, Verna and Marrs Mclean Department of Biochemistry and Molecular Biology Baylor College of Medicine Houston, Texas 77030, United States.

Jianpeng Ma, Multiscale Research Institute of Complex Systems Fudan University Shanghai, 200433, China; Zhangjiang Fudan International Innovation Center Fudan University Shanghai, 201210, China; Shanghai AI Laboratory Shanghai, 200030, China.


Articles from Briefings in Bioinformatics are provided here courtesy of Oxford University Press

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