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

Guo, Yanbu; Li, Weihua; Wang, Bingyi; Liu, Huiqing; Zhou, Dongming

Guo, Yanbu; Li, Weihua; Wang, Bingyi; Liu, Huiqing; Zhou, Dongming.

Afiliação

Guo Y; School of Information Science and Engineering, Yunnan University, Kunming, 650091, China.
Li W; School of Information Science and Engineering, Yunnan University, Kunming, 650091, China. liweihua@ynu.edu.cn.
Wang B; Research Institute of Resource Insects, Chinese Academy of Forestry, Kunming, 650224, China. wbykm@aliyun.com.
Liu H; School of Information Science and Engineering, Yunnan University, Kunming, 650091, China.
Zhou D; School of Information Science and Engineering, Yunnan University, Kunming, 650091, China.

BMC Bioinformatics ; 20(1): 341, 2019 Jun 17.

Article em En | MEDLINE | ID: mdl-31208331

Assuntos

Algoritmos; Aprendizado Profundo; Modelos Teóricos; Redes Neurais de Computação; Proteínas/química; Domínios Proteicos; Estrutura Secundária de Proteína

Palavras-chave

Asymmetric convolutional neural network; Deep learning; Long short-term memory; Protein secondary structure

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Proteínas / Redes Neurais de Computação / Aprendizado Profundo / Modelos Teóricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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