HCIP: An Online database for prediction CYP450 Enzyme Inhibition potential of bioactive compounds
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 InteractionDOI
https://doi.org/10.22270/jddt.v11i2.4637References
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
Abstract Display: 401
PDF Downloads: 541
PDF Downloads: 585 How to Cite
Issue
Section
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

.