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Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning.
Thafar, Maha A; Alshahrani, Mona; Albaradei, Somayah; Gojobori, Takashi; Essack, Magbubah; Gao, Xin.
Afiliação
  • Thafar MA; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Alshahrani M; College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
  • Albaradei S; National Center for Artificial Intelligence (NCAI), Saudi Data and Artificial Intelligence Authority (SDAIA), Riyadh, Saudi Arabia.
  • Gojobori T; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Essack M; Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Gao X; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Sci Rep ; 12(1): 4751, 2022 03 19.
Article em En | MEDLINE | ID: mdl-35306525
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Desenvolvimento de Medicamentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Desenvolvimento de Medicamentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article