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Interaction of Glucagon G-Protein Coupled Receptor with Known Natural Antidiabetic Compounds: Multiscoring In Silico Approach
Joint Authors
Kamal, Mohammad Amjad
Ahmad, Khurshid
Baig, M. H.
Hasan, Q.
Khan, M. K. A.
Rao, N. S.
Choi, I.
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-06
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Glucagon receptor (GCGR) is a secretin-like (class B) family of G-protein coupled receptors (GPCRs) in humans that plays an important role in elevating the glucose concentration in blood and has thus become one of the promising therapeutic targets for treatment of type 2 diabetes mellitus.
GCGR based inhibitors for the treatment of type 2 diabetes are either glucagon neutralizers or small molecular antagonists.
Management of diabetes without any side effects is still a challenge to the medical system, and the search for a new and effective natural GCGR antagonist is an important area for the treatment of type 2 diabetes.
In the present study, a number of natural compounds containing antidiabetic properties were selected from the literature and their binding potential against GCGR was determined using molecular docking and other in silico approaches.
Among all selected natural compounds, curcumin was found to be the most effective compound against GCGR followed by amorfrutin 1 and 4-hydroxyderricin.
These compounds were rescored to confirm the accuracy of binding using another scoring function (x-score).
The final conclusions were drawn based on the results obtained from the GOLD and x-score.
Further experiments were conducted to identify the atomic level interactions of selected compounds with GCGR.
American Psychological Association (APA)
Baig, M. H.& Ahmad, Khurshid& Hasan, Q.& Khan, M. K. A.& Rao, N. S.& Kamal, Mohammad Amjad…[et al.]. 2015. Interaction of Glucagon G-Protein Coupled Receptor with Known Natural Antidiabetic Compounds: Multiscoring In Silico Approach. Evidence-Based Complementary and Alternative Medicine،Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1062384
Modern Language Association (MLA)
Baig, M. H.…[et al.]. Interaction of Glucagon G-Protein Coupled Receptor with Known Natural Antidiabetic Compounds: Multiscoring In Silico Approach. Evidence-Based Complementary and Alternative Medicine No. 2015 (2015), pp.1-6.
https://search.emarefa.net/detail/BIM-1062384
American Medical Association (AMA)
Baig, M. H.& Ahmad, Khurshid& Hasan, Q.& Khan, M. K. A.& Rao, N. S.& Kamal, Mohammad Amjad…[et al.]. Interaction of Glucagon G-Protein Coupled Receptor with Known Natural Antidiabetic Compounds: Multiscoring In Silico Approach. Evidence-Based Complementary and Alternative Medicine. 2015. Vol. 2015, no. 2015, pp.1-6.
https://search.emarefa.net/detail/BIM-1062384
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1062384