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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Molecules to Medicines: AI’s Transformative Role in Drug Discovery
Authors Name: Shailesh Bhange , Sanket Gadekar
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IJRTI_203357
Published Paper Id: IJRTI2505095
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: Artificial Intelligence (AI) is quickly becoming a powerful ally in the search for new medicines. From identifying potential drug candidates to predicting how they’ll behave in the body, AI is helping researchers speed up the discovery process and reduce costs. This review looks at how AI is being used in drug discovery, what’s working well, and what challenges still need to be addressed. While AI brings exciting possibilities, its success depends heavily on access to quality data, the transparency of its decision-making, and how well it works alongside traditional lab-based methods. We also explore important concerns around ethics, model bias, and the current limits of AI technologies. Along the way, we highlight strategies like explainable AI, data augmentation, and combining AI tools with human expertise to get the best results. Overall, this paper aims to give a clear picture of both the promise and the reality of using AI in drug discovery—and how we might move forward, smarter and faster.
Keywords: artificial intelligence, drug discovery, machine learning, explainable AI, pharmaceutical research, challenges and opportunities
Cite Article: "Molecules to Medicines: AI’s Transformative Role in Drug Discovery", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a805-a811, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505095.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505095
Registration ID:203357
Published In: Volume 10 Issue 5, May-2025
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Page No: a805-a811
Country: Pune, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505095
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505095
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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