Predicting protein inter-residue contacts using composite likelihood maximization and deep learning (vol 20, 537, 2019)

被引:2
作者
Zhang, Haicang [1 ,2 ]
Zhang, Qi [1 ,2 ]
Ju, Fusong [1 ,2 ]
Zhu, Jianwei [1 ,2 ]
Gao, Yujuan [3 ]
Xie, Ziwei [5 ]
Deng, Minghua [3 ]
Sun, Shiwei [1 ]
Zheng, Wei-Mou [4 ]
Bu, Dongbo [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Peking Univ, Sch Math Sci, Ctr Quantitat Biol, Ctr Stat Sci, Beijing, Peoples R China
[4] Chinese Acad Sci, Inst Theoret Phys, Beijing, Peoples R China
[5] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Wuhan, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Composite likelihood maximization; Deep learning; Markov random fields; Residue-residue contacts prediction;
D O I
10.1186/s12859-019-3198-2
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Following publication of the original article [1], the author explained that there are several errors in the original article
引用
收藏
页数:5
相关论文
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  • [1] Zhang HC, 2019, BMC BIOINFORMATICS, V20, DOI 10.1186/s12859-019-3051-7