DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction

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...

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Bibliographic Details
Main Authors: Yanbu Guo, Weihua Li, Bingyi Wang, Huiqing Liu, Dongming Zhou
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Bioinformatics
Subjects:
Protein secondary structure
Deep learning
Asymmetric convolutional neural network
Long short-term memory
Online Access:http://link.springer.com/article/10.1186/s12859-019-2940-0

Internet

http://link.springer.com/article/10.1186/s12859-019-2940-0

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