Modern computational intelligence based drug repurposing for diabetes epidemic |
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| Authors: | Sweta Mohanty Md. Harun Al Rashid Chandana Mohanty Swati Swayamsiddha |
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| Affiliation: | 1. School of Applied Science, KIIT University, Bhubaneswar, Odisha, India;2. Samsi Rural Hospital, Ratua-1, Malda, West Bengal, India;3. School of Electronics Engineering, KIIT University, Bhubaneswar, Odisha, India |
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| Abstract: | Background and aimObjectives are to explore recent advances in discovery of new antidiabetic agents using repurposing strategies and to discuss modern technologies used for drug repurposing highlighting diabetic specific web portal.MethodsRecent literature were studied and analyzed from various sources such as Scopus, PubMed, and IEEE Xplore databases.ResultsDrugs like Niclosamideethanolamine, Methazolamide, Diacerein, Berberine, Clobetasol, etc. with possibility of repurposing to curb diabetes can be potential late-stage clinical candidates, providing access to information on pharmacology, formulation, and probable toxicity if any.ConclusionsWith collaboration of artificial intelligence (AI) with pharmacology, the efficiency of drug repurposing can improve significantly. |
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| Keywords: | Diabetes Drug repurposing Artificial intelligence Modern computational intelligence models Molecular property diagnostic suite diabetes mellitus (MPDSDM) |
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