Designing of potent anti-diabetic molecules by targeting SIK2 using computational approaches.

Jayaprakash, Prajisha; Biswal, Jayashree; Rangaswamy, Raghu; Jeyakanthan, Jeyaraman

Jayaprakash, Prajisha; Biswal, Jayashree; Rangaswamy, Raghu; Jeyakanthan, Jeyaraman.

Afiliación

Jayaprakash P; Structural Biology and Bio-Computing Laboratory, Department of Bioinformatics, Alagappa University, Science Block, Karaikudi, Tamil Nadu, 630004, India.
Biswal J; Structural Biology and Bio-Computing Laboratory, Department of Bioinformatics, Alagappa University, Science Block, Karaikudi, Tamil Nadu, 630004, India.
Rangaswamy R; Structural Biology and Bio-Computing Laboratory, Department of Bioinformatics, Alagappa University, Science Block, Karaikudi, Tamil Nadu, 630004, India.
Jeyakanthan J; Structural Biology and Bio-Computing Laboratory, Department of Bioinformatics, Alagappa University, Science Block, Karaikudi, Tamil Nadu, 630004, India. jjkanthan@gmail.com.

Mol Divers ; 27(3): 1101-1121, 2023 Jun.

Article en En | MEDLINE | ID: mdl-35727438

Asunto(s)

Diabetes Mellitus; Humanos; Simulación del Acoplamiento Molecular; Simulación de Dinámica Molecular; Sitios de Unión

Palabras clave

Homology modeling; Pharmacophore modeling; Selective SIK2 inhibitors; Virtual screening; WaterMap analysis

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Diabetes Mellitus Límite: Humans Idioma: En Revista: Mol Divers Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: India

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