Identification of promising multi-targeting inhibitors of obesity from Vernonia amygdalina through computational analysis-Reference-Cited by-同舟云学术

Identification of promising multi-targeting inhibitors of obesity from Vernonia amygdalina through computational analysis

Published:2022-02-18 Issue:1 Volume:27 Page:1-25
ISSN:1381-1991
Container-title:Molecular Diversity
language:en
Short-container-title:Mol Divers

Author:

Ogunyemi Oludare M.^ORCID,Gyebi Gideon A.,Ibrahim Ibrahim M.,Esan Adewale M.,Olaiya Charles O.,Soliman Mohameed M.,Batiha Gaber El-Saber

Funder

Taif University Researchers Supporting Project

Publisher

Springer Science and Business Media LLC

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Drug Discovery,Molecular Biology,General Medicine,Information Systems,Catalysis

Link

https://link.springer.com/content/pdf/10.1007/s11030-022-10397-6.pdf

Reference72 articles.

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3. Forouzanfar MH, Alexander L, Anderson HR, Bachman VF et al (2015) Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 386(10010):2287–2323. https://doi.org/10.1016/S0140-6736(15)00128-2

4. Lillich FF, Imig JD, Proschak E (2021) Multi-target approaches in metabolic syndrome. Front Pharmacol. https://doi.org/10.3389/fphar.2020.554961

5. Ford ND, Patel SA, Narayan KM (2017) Obesity in low- and middle-income countries: burden, drivers, and emerging challenges. Annu Rev Public Health 38:145–164. https://doi.org/10.1146/annurev-publhealth-031816-044604

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