HCIP: An Online database for prediction CYP450 Enzyme Inhibition potential of bioactive compounds

Authors

  • Sabarathinam Sarvesh SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India
  • Preethi L SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India
  • Haripritha Meganathan SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India
  • M Arjun Gokulan SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India
  • Dhivya Dhanasekaran SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India
  • Nila Ganamurali SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India
  • Rahul Radhakrishnan SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

Abstract

Background: Concomitant administration of herbal medicine and conventional may lead to severe metabolism-oriented herb-drug interactions. However, detecting herb-drug interaction is expensive and higher time-consuming. Several computer-aided techniques have been proposed in recent years to predict drug interactions. However, most of the methods cannot predict herb-drug interactions effectively.

Methods: Canonical SMILES of bioactive compounds was gathered from the PubChem online database, and its inhibition details were gathered PKCSM from the webserver.

Results: By searching the bioactive compound name in the search bar of “The Herb-CYP450 Enzyme Inhibition Predictor online database” (HCIP- http://hcip.in/), it will provide the liver enzyme inhibition profile of the selected bioactive compound. For example; Guggulsterone:  CYP3A4 inhibitor. 

Conclusion: The Herb-CYP450 Enzyme Inhibition Predictor online database is very peculiar and easy to determine the inhibition profile of the targeted bioactive compound.

Keywords: CYP450; Enzyme inhibition; Bioactive Compounds; Online database; Herb-Drug Interaction

Keywords:

CYP450, Enzyme inhibition, Bioactive Compounds, Online database, Herb-Drug Interaction

DOI

https://doi.org/10.22270/jddt.v11i2.4637

Author Biographies

Sabarathinam Sarvesh, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

Preethi L, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

Haripritha Meganathan, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

M Arjun Gokulan, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

Dhivya Dhanasekaran, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

Nila Ganamurali, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

Rahul Radhakrishnan, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India

References

Sarvesh, S., Koushik Muthu Raja, M., Rajanandh, M. G., & Seenivasan, P. (2018). Prevalence and pattern of usage of complementary and alternative medicine among south Indian asthma patients in a tertiary care hospital. Complementary Therapies in Clinical Practice, 2018; 30:103–108. doi:10.1016/j.ctcp.2017.12.016

Na, D. H., Ji, H. Y., Park, E. J., Kim, M. S., Liu, K.-H., & Lee, H. S. Evaluation of metabolism-mediated herb-drug interactions. Archives of Pharmacal Research, 2011; 34:1829–1842. DOI: 10.1007/s12272-011-1105-0.

Steven X. Hu*, Chase A. Mazur and Kenneth L. Feenstra, “Assessment of Inhibition of Bovine Hepatic Cytochrome P450 by 43 Commercial Bovine Medicines Using a Combination of In Vitro Assays and Pharmacokinetic Data from the Literature”, Drug Metabolism Letters, 2019; 13:123. https://doi.org/10.2174/1872312813666191120094649

Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., Zaslavsky, L., Zhang, J., & Bolton, E. E. (2019). PubChem in 2021: new data content and improved web interfaces. Nucleic acids research, 2021; 49(D1):D1388–D1395. https://doi.org/10.1093/nar/gkaa971

Douglas E. V. Pires, Tom L. Blundell, and David B. Ascher. pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures Journal of Medicinal Chemistry 2015; 58 (9):4066-4072

Published

2021-04-01
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How to Cite

1.
Sarvesh S, L P, Meganathan H, Gokulan MA, Dhanasekaran D, Ganamurali N, et al. HCIP: An Online database for prediction CYP450 Enzyme Inhibition potential of bioactive compounds. J. Drug Delivery Ther. [Internet]. 2021 Apr. 1 [cited 2026 Jan. 21];11(2):253-5. Available from: https://jddtonline.info/index.php/jddt/article/view/4637

How to Cite

1.
Sarvesh S, L P, Meganathan H, Gokulan MA, Dhanasekaran D, Ganamurali N, et al. HCIP: An Online database for prediction CYP450 Enzyme Inhibition potential of bioactive compounds. J. Drug Delivery Ther. [Internet]. 2021 Apr. 1 [cited 2026 Jan. 21];11(2):253-5. Available from: https://jddtonline.info/index.php/jddt/article/view/4637