Artificial Intelligence approach to verify irrationality of FDCs listed by CDSCO

Authors

  • Ayush Thakur Dreamz College of Pharmacy, Sundernagar, Mandi-175036, Himachal Pradesh, India
  • Anshu Kumari Dreamz College of Pharmacy, Sundernagar, Mandi-175036, Himachal Pradesh, India
  • Shiwank Rana Dreamz College of Pharmacy, Sundernagar, Mandi-175036, Himachal Pradesh, India

DOI:

https://doi.org/10.25081/rip.2023.v13.8464

Keywords:

Artificial Intelligence, ChatGPT, BARD, SwissADME, FDC irrationality, CDSCO

Abstract

Various Artificial Intelligence (AI) tools were utilized to verify the irrationality of Fixed-Dose-Combinations (FDCs) which were already proven irrational by CDSCO. SwissADME, one of the AI tools was able to generate properties of FDCs by using two-dimensional structures downloaded from Pubchem (a free data source). Another interesting finding was obtained by using two different AI tools ChatGPT and BARD. These AI tools identified uncommon comparative properties and predicted most of the FDCs are irrational. This suggests that these AI tools can play a crucial role in identifying irrationality in drugs. Additionally, the study looked into drug–drug interactions, and it was found that most of the FDCs are exhibited such interactions. AI tools were capable of analysing the irrationality of a significant number of drugs. However, SwissADME, one of the AI tools has limited capability in processing large structures. This proves the further need for improvements in AI technology to produce more accurate and comprehensive analyses.

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Published

04-09-2023

How to Cite

Thakur, A., A. Kumari, and S. Rana. “Artificial Intelligence Approach to Verify Irrationality of FDCs Listed by CDSCO”. Research in Pharmacy, vol. 13, Sept. 2023, pp. 20-26, doi:10.25081/rip.2023.v13.8464.

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Section

Articles