Network pharmacology based high throughput screening for identification of multi targeted anti-diabetic compound from traditionally used plants.

Gogoi, Bhaskarjyoti; Gogoi, Dhrubajyoti; Gogoi, Neelutpal; Mahanta, Saurov; Buragohain, Alak K

Gogoi, Bhaskarjyoti; Gogoi, Dhrubajyoti; Gogoi, Neelutpal; Mahanta, Saurov; Buragohain, Alak K.

Affiliation

Gogoi B; Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, India.
Gogoi D; Department of Biotechnology, Royal Global University, Guwahati, Assam, India.
Gogoi N; Centre for Biotechnology and Bioinformatics, Dibrugarh University, Dibrugarh, Assam, India.
Mahanta S; Department of Pharmaceutical Sciences, Dibrugarh University, Dibrugarh, Assam, India.
Buragohain AK; National Institute of Electronics and Information Technology (NIELIT), Guwahati, Assam, India.

J Biomol Struct Dyn ; 40(17): 8004-8017, 2022 10.

Article in En | MEDLINE | ID: mdl-33769188

Subject(s)

Diabetes Mellitus, Type 2; Drugs, Chinese Herbal; Aldehyde Reductase; Coumarins; Diabetes Mellitus, Type 2/drug therapy; Drugs, Chinese Herbal/chemistry; Drugs, Chinese Herbal/therapeutic use; High-Throughput Screening Assays; Humans; Hydroxysteroid Dehydrogenases; Ligands; Molecular Docking Simulation; Monoterpenes; Network Pharmacology; Protein Kinase C-theta; Receptors, Glucocorticoid

Key words

Type 2 diabetes mellitus; insulin resistance; natural products; network pharmacology; traditional knowledge

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drugs, Chinese Herbal / Diabetes Mellitus, Type 2 Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: J Biomol Struct Dyn Year: 2022 Document type: Article Affiliation country: India Country of publication: United kingdom

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