Artificial Intelligence approach to verify irrationality of FDCs listed by CDSCO

IF 0.6 Q4 PHARMACOLOGY & PHARMACY
Ayush Thakur, Anshu Kumari, Shiwank Rana
{"title":"Artificial Intelligence approach to verify irrationality of FDCs listed by CDSCO","authors":"Ayush Thakur, Anshu Kumari, Shiwank Rana","doi":"10.25081/rip.2023.v13.8464","DOIUrl":null,"url":null,"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.","PeriodicalId":17096,"journal":{"name":"Journal of Research in Pharmacy","volume":"19 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research in Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25081/rip.2023.v13.8464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

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.
用人工智能方法验证CDSCO列出的fdc的不合理性
利用各种人工智能(AI)工具来验证CDSCO已经证明不合理的固定剂量组合(fdc)的不合理性。其中一个人工智能工具SwissADME能够使用从Pubchem(免费数据源)下载的二维结构来生成fdc的属性。另一个有趣的发现是通过使用两个不同的人工智能工具ChatGPT和BARD获得的。这些人工智能工具识别了不常见的比较属性,并预测大多数fdc是不合理的。这表明,这些人工智能工具可以在识别药物的不合理性方面发挥关键作用。此外,该研究还研究了药物-药物相互作用,发现大多数fdc都表现出这种相互作用。人工智能工具能够分析大量药物的不合理性。然而,作为人工智能工具之一的SwissADME在处理大型结构方面的能力有限。这证明了人工智能技术需要进一步改进,以产生更准确和全面的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Research in Pharmacy
Journal of Research in Pharmacy PHARMACOLOGY & PHARMACY-
CiteScore
1.00
自引率
12.50%
发文量
80
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信