Elucidating the interactions of compounds identified from Aframomum melegueta seeds as promising candidates for the management of diabetes mellitus: A computational approach

Elucidating the interactions of compounds identified from Aframomum melegueta seeds as promising candidates for the management of diabetes mellitus: A computational approach

Type-2 diabetes mellitus (T2DM), is considered being a multifaceted disorder that presents a major therapeutic problem. Despite the widespread efforts in managing T2DM, drug discovery therapies remain insufficient. There are several new and vital antidiabetic drug agents under examination of many re...

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Bibliographic Details
Main Authors: Oluwafemi Adeleke Ojo, Adebola Busola Ojo, Charles Okolie, Jadesola Abdurrahman, Morayo Barnabas, Ikponmwosa Owen Evbuomwan, Oluwabori Paul Atunwa, Bukola Atunwa, Matthew Iyobhebhe, Tobiloba Christiana Elebiyo, Charles Obiora Nwonuma, Abayomi Emmanuel Adegboyega, Safaa Qusti, Eida M. Alshammari, Helal F. Hetta, Gaber El Saber Batiha
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Aframomum melegueta
Pharmacophore modeling
QSAR
Induced-fit docking-simulation
Molecular docking
MM-GBSA binding Energies
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002008

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