Prediction of 8-state protein secondary structures by a novel deep learning architecture.

Journal: BMC bioinformatics

Published Date: Aug 3, 2018

Abstract

BACKGROUND: Protein secondary structure can be regarded as an information bridge that links the primary sequence and tertiary structure. Accurate 8-state secondary structure prediction can significantly give more precise and high resolution on structure-based properties analysis.

Authors

Buzhong Zhang

School of Computer Science and Technology, Soochow University, Suzhou 215006, China. 20154027005@stu.suda.edu.cn.
Jinyan Li
Qiang Lu

Department of Computer Science and Technology, China University of Petroleum, Beijing 102249, China.

Keywords

Algorithms Computational Biology Databases, Protein Deep Learning Neural Networks, Computer Protein Structure, Secondary

External Resources

View on PubMed Access via DOI PubMed (30075707)

Prediction of 8-state protein secondary structures by a novel deep learning architecture.

Abstract

Authors

Keywords

External Resources

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