ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks | Zendy

Yang Li | Zendy; Jun Hu | Zendy; Chengxin Zhang | Zendy; DongJun Yu | Zendy; Yang Zhang | Zendy

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ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks

Author(s) -

Yang Li,

Jun Hu,

Chengxin Zhang,

DongJun Yu,

Yang Zhang

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz291

Subject(s) - residual , protein structure prediction , computer science , artificial intelligence , artificial neural network , casp , covariance matrix , convolutional neural network , algorithm , deep learning , pattern recognition (psychology) , data mining , protein structure , biology , biochemistry

Contact-map of a protein sequence dictates the global topology of structural fold. Accurate prediction of the contact-map is thus essential to protein 3D structure prediction, which is particularly useful for the protein sequences that do not have close homology templates in the Protein Data Bank.

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