Prediction of 8-state protein secondary structures by a novel deep learning architecture
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. Results We...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-08-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2280-5 |