In Silico Study of Mangostin Compounds and Its Derivatives as Inhibitors of α-Glucosidase Enzymes for Anti-Diabetic Studies.

anti-diabetic diabetes in silico mangostin

Journal

Biology
ISSN: 2079-7737
Titre abrégé: Biology (Basel)
Pays: Switzerland
ID NLM: 101587988

Informations de publication

Date de publication:
16 Dec 2022
Historique:
received: 29 10 2022
revised: 02 12 2022
accepted: 12 12 2022
entrez: 23 12 2022
pubmed: 24 12 2022
medline: 24 12 2022
Statut: epublish

Résumé

Diabetes is a chronic disease with a high mortality rate worldwide and can cause other diseases such as kidney damage, narrowing of blood vessels, and heart disease. The concomitant use of drugs such as metformin, sulfonylurea, miglitol, and acarbose may cause side effects with long-term administration. Therefore, natural ingredients are the best choice, considering that their long-term side effects are not significant. One of the compounds that can be used as a candidate antidiabetic is mangostin; however, information on the molecular mechanism needs to be further analyzed through molecular docking, simulating molecular dynamics, and testing the in silico antidiabetic potential. This study focused on modeling the protein structure, molecular docking, and molecular dynamics simulations and analyses. This process produces RMSD values, free energies, and intermolecular hydrogen bonding. Based on the analysis results, all molecular dynamics simulations can occur under physiological conditions, and γ-mangostin is the best among the test compounds.

Identifiants

pubmed: 36552346
pii: biology11121837
doi: 10.3390/biology11121837
pmc: PMC9775444
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Ahmad Fariz Maulana (AF)

Departement of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia.

Sriwidodo Sriwidodo (S)

Departement of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang 45363, Indonesia.

Yaya Rukayadi (Y)

Departement of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Malaysia.

Iman Permana Maksum (IP)

Departement of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia.

Classifications MeSH