In-Silico Molecular Docking in Screening of Anti-Diabetic Therapeutics from Medicinal Plants

Authors

DOI:

https://doi.org/10.47552/ijam.v12i3.1923

Keywords:

Diabetes Mellitus, Diabetic Targets, Herbal Drugs, Molecular Docking, Protein

Abstract

One of the most widely spreading diseases due to several lifestyle problems in the 21st century is diabetes mellitus. The management of diabetes mellitus is very important and essential. Plants are natural reservoir of many medicinal value added components help to overcome many chronic disorders including diabetes mellitus. Herbal drugs are prescribed in treatment of diabetes mellitus due to their good effectiveness, fewer side effects in clinical experience and relatively low costs. Screening of antidiabetic therapeutics is very important and essential for effective management of diabetes mellitus. Many researchers have worked on extraction, isolation, characterization of extracts and bioactive fractions from medicinal plant also they have established profile and data of interaction of active components against various targets and enzymes of diabetes mellitus using In-silico molecular docking tools. Molecular docking is an important computational tool to predict the plausible interactions between the drug and protein in a non-covalent fashion. Extensive in silico docking procedures have been carried out to examine whether the compound is a good ligand with diabetic targets. In the present review article we have thoroughly screened research articles published in various scientific, indexed, national and international journals on In-silico molecular docking based screening of Anti-Diabetic potentials and therapeutics from medicinal plant and extensively presented.

Author Biographies

Shankar Gharge

PG Scholar, Department of Pharmaceutical Chemistry, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Belagavi-560010, Karnataka. India. 

Pooja Khagawad

Professor, Department of Pharmaceutical Chemistry, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Belagavi-560010, Karnataka. India. 

Mahesh S Palled

Professor, Department of Pharmaceutical Chemistry, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Belagavi-560010, Karnataka. India. 

Meenaxi M Maste

 

Professor, Department of Pharmaceutical Chemistry, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Belagavi-560010, Karnataka, India.

Shailendra S Suryawanshi

Assistant Professor, Department of Pharmaceutical Chemistry, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Belagavi-560010, Karnataka. India.

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Published

2021-06-29

How to Cite

Gharge, S., Khagawad, P., Palled, M. S., Maste, M. M., & Suryawanshi, S. S. (2021). In-Silico Molecular Docking in Screening of Anti-Diabetic Therapeutics from Medicinal Plants. International Journal of Ayurvedic Medicine, 12(2), 190–198. https://doi.org/10.47552/ijam.v12i3.1923

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Section

Review Articles