Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion.

Tian, Xiongfei; Shen, Ling; Gao, Pengfei; Huang, Li; Liu, Guangyi; Zhou, Liqian; Peng, Lihong

Tian, Xiongfei; Shen, Ling; Gao, Pengfei; Huang, Li; Liu, Guangyi; Zhou, Liqian; Peng, Lihong.

Afiliação

Tian X; School of Computer Science, Hunan University of Technology, Zhuzhou, China.
Shen L; School of Computer Science, Hunan University of Technology, Zhuzhou, China.
Gao P; College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou, China.
Huang L; Academy of Arts and Design, Tsinghua University, Beijing, China.
Liu G; The Future Laboratory, Tsinghua University, Beijing, China.
Zhou L; School of Computer Science, Hunan University of Technology, Zhuzhou, China.
Peng L; School of Computer Science, Hunan University of Technology, Zhuzhou, China.

Front Microbiol ; 13: 740382, 2022.

Article em En | MEDLINE | ID: mdl-35295301

Palavras-chave

anti-SARS-CoV-2 drug; kernel diffusion; logistic matrix factorization; molecular docking; virus-drug association

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Microbiol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google