DEDTI versus IEDTI: efficient and predictive models of drug-target interactions.

Zabihian, Arash; Sayyad, Faeze Zakaryapour; Hashemi, Seyyed Morteza; Shami Tanha, Reza; Hooshmand, Mohsen; Gharaghani, Sajjad

Zabihian, Arash; Sayyad, Faeze Zakaryapour; Hashemi, Seyyed Morteza; Shami Tanha, Reza; Hooshmand, Mohsen; Gharaghani, Sajjad.

Afiliação

Zabihian A; Laboratory of Bioinformatics and Drug Design (LBD), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran.
Sayyad FZ; Department of Bioinformatics, Kish International Campus, University of Tehran, Kish, Iran.
Hashemi SM; Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran.
Shami Tanha R; Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran.
Hooshmand M; Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran.
Gharaghani S; Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran. mohsen.hooshmand@iasbs.ac.ir.

Sci Rep ; 13(1): 9238, 2023 06 07.

Article em En | MEDLINE | ID: mdl-37286613

Assuntos

Desenvolvimento de Medicamentos; Redes Neurais de Computação; Simulação por Computador; Reposicionamento de Medicamentos/métodos; Interações Medicamentosas; Algoritmos

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Desenvolvimento de Medicamentos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article

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