Bioactive Secondary Metabolites to Combat Diabetic Complications: Evidenced from in Silico Study

Authors

  • Hasin Hasnat Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Suriya Akter Shompa Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Fahmida Tasnim Richi Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Dhaka Dhaka-1000, Bangladesh
  • Md Mirazul Islam Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Mehedi Hasan Suman Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Nazim Uddin Ahmed Drugs and Toxins Research Division, BCSIR Laboratories Rajshahi, Bangladesh Council of Scientific and Industrial Research, Rajshahi-6206, Bangladesh
  • Sania Ashrafi Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Dhaka Dhaka-1000, Bangladesh
  • Anika Zaman Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Tanoy Saha Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Md Ashraful Islam Department of Pharmacy, State University of Bangladesh, Dhaka-1205, Bangladesh
  • Safaet Alam Drugs and Toxins Research Division, BCSIR Laboratories Rajshahi, Bangladesh Council of Scientific and Industrial Research, Rajshahi-6206, Bangladesh

DOI:

https://doi.org/10.3329/bpj.v26i2.67807

Keywords:

Antidiabetic, phytochemical, in silico, molecular docking, ADMET, GLUT-3, PPARγ, α-amylase

Abstract

Diabetes mellitus (DM) is a condition characterized by excessive blood sugar levels, which have recently reached the level of a pandemic. There are various side effects of each drug to treat this condition. Molecular docking is a modern concept for computer-aided drug designing. Using this technique several potential antidiabetic phytocompounds are evaluated against three target receptors including GLUT-3, PPARγ and α-amylase related to DM. These compounds' ADMET and drug-likeliness characteristics have also been assessed to determine potential drug candidacy. Most of the compounds exhibited magnificent binding affinity against these targets, especially compounds 30 and 27 have shown great affinity against GLUT-3 with values of -11.2 and -10.2 Kcal/mol respectively. Where compound 37 has the highest binding affinity (-9.1 Kcal/mol) against PPARγ. Also, with values of -11.6 and -10.8 Kcal/mol respectively compounds 38 and 12 notably bind with α-amylase. Moreover, all of these compounds have magnificent results on ADMET and drug-likeliness studies, in particular, compound 29 has shown high affinity against all of these receptors, explored 0.55% bioavailability score, no toxicity and high absorptivity. Although these compounds have undergone a preliminary drug discovery study, more research must be done to determine their precise mechanism of action against DM.

Bangladesh Pharmaceutical Journal 26(2): 167-184, 2023 (July)

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Published

2023-08-08

How to Cite

Hasnat, H. ., Shompa, S. A. ., Richi, F. T. ., Islam, M. M. ., Suman, M. H. ., Ahmed, N. U. ., Ashrafi, S. ., Zaman, A. ., Saha, T. ., Islam, M. A. ., & Alam, S. . (2023). Bioactive Secondary Metabolites to Combat Diabetic Complications: Evidenced from in Silico Study. Bangladesh Pharmaceutical Journal, 26(2), 167–184. https://doi.org/10.3329/bpj.v26i2.67807

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