Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases.

Rifaioglu, Ahmet Sureyya; Atas, Heval; Martin, Maria Jesus; Cetin-Atalay, Rengul; Atalay, Volkan; Dogan, Tunca

Rifaioglu, Ahmet Sureyya; Atas, Heval; Martin, Maria Jesus; Cetin-Atalay, Rengul; Atalay, Volkan; Dogan, Tunca.

Afiliación

Rifaioglu AS; Department of Computer Engineering, Middle East Technical University, Ankara, Turkey.
Atas H; Department of Computer Engineering, Iskenderun Technical University, Hatay, Turkey.
Martin MJ; Cancer System Biology Laboratory (CanSyL), Graduate School of Informatics, Middle East Technical University, Ankara, Turkey.
Cetin-Atalay R; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Hinxton, UK.
Atalay V; Department of Computer Engineering, Middle East Technical University, Ankara, Turkey.
Dogan T; Department of Computer Engineering, Middle East Technical University, Ankara, Turkey.

Brief Bioinform ; 20(5): 1878-1912, 2019 09 27.

Article en En | MEDLINE | ID: mdl-30084866

Asunto(s)

Sistemas de Administración de Bases de Datos; Aprendizaje Profundo; Descubrimiento de Drogas; Simulación por Computador

Palabras clave

compound and bioactivity databases; deep learning; drug-target interactions; gold-standard data sets; ligand-based VS and proteochemometric modelling; machine learning; virtual screening

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sistemas de Administración de Bases de Datos / Descubrimiento de Drogas / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Turquía

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