Artificial intelligence based methods for hot spot prediction.

Ovek, Damla; Abali, Zeynep; Zeylan, Melisa Ece; Keskin, Ozlem; Gursoy, Attila; Tuncbag, Nurcan

Ovek, Damla; Abali, Zeynep; Zeylan, Melisa Ece; Keskin, Ozlem; Gursoy, Attila; Tuncbag, Nurcan.

Afiliação

Ovek D; Department of Computer Engineering, Koc University, Istanbul, 34450, Turkey; KUIS AI Center, Koc University, Istanbul, 34450, Turkey.
Abali Z; KUIS AI Center, Koc University, Istanbul, 34450, Turkey; Graduate School of Science and Engineering, Koc University, Istanbul, 34450, Turkey.
Zeylan ME; Graduate School of Science and Engineering, Koc University, Istanbul, 34450, Turkey.
Keskin O; Department of Chemical and Biological Engineering, Koc University, Istanbul, 34450, Turkey. Electronic address: okeskin@ku.edu.tr.
Gursoy A; Department of Computer Engineering, Koc University, Istanbul, 34450, Turkey. Electronic address: agursoy@ku.edu.tr.
Tuncbag N; Department of Chemical and Biological Engineering, Koc University, Istanbul, 34450, Turkey; School of Medicine, Koc University, Istanbul, 34450, Turkey. Electronic address: ntuncbag@ku.edu.tr.

Curr Opin Struct Biol ; 72: 209-218, 2022 02.

Article em En | MEDLINE | ID: mdl-34954608

Assuntos

Inteligência Artificial; Proteínas; Aminoácidos/química; Bases de Dados de Proteínas; Aprendizado de Máquina; Ligação Proteica; Proteínas/química

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Curr Opin Struct Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Turquia

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