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Molecular docking and ADMET-based mining of terpenoids against targets of type-II diabetes

Network Modeling Analysis in Health Informatics and Bioinformatics volume 9, Article number: 21 (2020) Cite this article

Abstract

Despite the availability of various medicines for the treatment of diabetes, plant-based drugs draw special attention due to their low cost and lesser side effects. The rhizomes of plant Hedychium coronarium have been reported for its anti-diabetic activity previously. In the present study, docking and computational ADME parameters of a few terpenoid ligands isolated from the above-mentioned plant against two control molecules (Sitagliptin, Metformin) were compared. The retrieved docked images indicated the docking sites in the target protein. Out of the five compounds, Digoxigenin monodigitoxoside has shown the best docking result. The LD50 of this compound is very similar to control and lower than others. This in silico study confirmed that terpenoids present in the plant rhizome are a potent drug candidate for the treatment of type-II diabetes. We have identified a few best-fit terpenoid molecules against identified targets using in silico studies, which may give new drugs to combat type-II diabetes after wet-lab validation.

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Acknowledgements

Authors are thankful to the Department of Biotechnology, NIT Raipur for the in silico study. Financial assistance to SKP as JRF for Ph.D. from University Grants Commission (UGC), New Delhi, India is gratefully acknowledged.

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Authors and Affiliations

  1. Department of Biotechnology, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, Chhattisgarh, 495009, India

    Suchitra Kumari Panigrahy & Renu Bhatt

  2. Department of Biotechnology, National Institute of Technology (NIT), Raipur, Chhattisgarh, 492010, India

    Anubhuti Jha & Awanish Kumar

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  1. Suchitra Kumari Panigrahy
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  2. Anubhuti Jha
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  3. Renu Bhatt
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  4. Awanish Kumar
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Correspondence to Renu Bhatt or Awanish Kumar.

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Panigrahy, S.K., Jha, A., Bhatt, R. et al. Molecular docking and ADMET-based mining of terpenoids against targets of type-II diabetes. Netw Model Anal Health Inform Bioinforma 9, 21 (2020). https://doi.org/10.1007/s13721-020-00229-8

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  • DOI: https://doi.org/10.1007/s13721-020-00229-8

Keywords

  • Diabetes
  • Digoxigenin monodigitoxoside
  • Docking
  • ADMET