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Publication: IIP Proceedings Year: 2022, Month: November Page No: 103-130, ISSN/ISBN: 978-93-95632-88-1, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023D0093560B8CAAA1.pdf
DRUG REPURPOSING AND COMPUTATIONAL DRUG DISCOVERY FOR DIABETES
Area/Stream: Biotechnology, Authors: Kunika Saini, Smriti Sharma, Vinayak Bhatia Keywords: T2DM; Drug Discovery; in silico Modeling; Drug Repurposing Book Name /series: Futuristic Trends in Biotechnology, Volume 2, Book 27, Part 1, Chapter 9Publication: IIP Proceedings Year: 2022, Month: November Page No: 103-130, ISSN/ISBN: 978-93-95632-88-1, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023D0093560B8CAAA1.pdf
Abstract:
The emergence of advanced molecular modeling software and speedy processing units has transformed the research of drug discovery in diabetes concerning type 2 diabetes mellitus (T2DM). This review highlights the recent advances and significance of in silico modeling for designing potential anti-T2DM drugs. The authors have discussed currently available information on the study of molecular modeling methods like molecular docking and drug repurposing for designing antiT2DM drugs. Also, the authors have tried to present the limitations of in silico molecular modeling in T2DM drug discovery.
Cite this: Kunika Saini, Smriti Sharma, Vinayak Bhatia,"DRUG REPURPOSING AND COMPUTATIONAL DRUG DISCOVERY FOR DIABETES", Futuristic Trends in Biotechnology, Volume 2, Book 27, Part 1, Chapter 9, November, 2022, 103-130, 978-93-95632-88-1, https://rsquarel.org/assets/docupload/rsl2023D0093560B8CAAA1.pdf
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