In Silico Computations of Selective Phytochemicals as Potential Inhibitors Against Major Biological Targets of Diabetes Mellitus.

Akhtar, Ammara; Amir, Anam; Hussain, Waqar; Ghaffar, Abdul; Rasool, Nouman

Akhtar, Ammara; Amir, Anam; Hussain, Waqar; Ghaffar, Abdul; Rasool, Nouman.

Afiliação

Akhtar A; Department of Life Sciences, University of Management and Technology, Lahore 54770, Pakistan.
Amir A; Department of Life Sciences, University of Management and Technology, Lahore 54770, Pakistan.
Hussain W; Department of Computer Science, University of Management and Technology, Lahore 54770, Pakistan.
Ghaffar A; Department of Biochemistry, Government College University, Faisalabad, Pakistan.
Rasool N; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.

Curr Comput Aided Drug Des ; 15(5): 401-408, 2019.

Article em En | MEDLINE | ID: mdl-30706825

Assuntos

Diabetes Mellitus/tratamento farmacológico; Hipoglicemiantes/farmacologia; Compostos Fitoquímicos/farmacologia; Simulação por Computador; Sistema Enzimático do Citocromo P-450/metabolismo; Diabetes Mellitus/metabolismo; Descoberta de Drogas; Quinases da Glicogênio Sintase/metabolismo; Humanos; Simulação de Acoplamento Molecular; Terapia de Alvo Molecular; PPAR gama/metabolismo; Ligação Proteica

Palavras-chave

ADMET; DFT; Diabetes mellitus; molecular docking; phytochemicals; receptors.

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Compostos Fitoquímicos / Hipoglicemiantes Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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