DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction
Abstract Background Protein secondary structure (PSS) is critical to further predict the tertiary structure, understand protein function and design drugs. However, experimental techniques of PSS are time consuming and expensive, and thus it’s very urgent to develop efficient computational approaches...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2940-0 |