Volume : 12, Issue : 12, December- 2025
Title:
ARTIFICIAL INTELLIGENCE (AI) USE IN DRUG DISCOVERY
Authors :
Mr. Jay Vilas Giri , Mr Avesh Iliyas Sumar
Abstract :
The integration of Artificial Intelligence (AI) into drug discovery has revolutionized the pharmaceutical landscape, offering unprecedented opportunities to accelerate and optimize the development of novel therapeutics. AI-driven approaches, including machine learning, deep learning, and generative models, have been successfully applied to target identification, hit and lead compound discovery, drug repurposing, and personalized medicine, enabling faster and more cost-effective drug development. This review highlights the current applications, benefits, and opportunities of AI in drug discovery while critically analyzing the limitations and challenges, such as data quality, algorithm interpretability, computational demands, ethical considerations, and regulatory hurdles. Emerging trends, including generative chemistry, multi-omics integration, digital twins, explainable AI, autonomous laboratories, and quantum computing, are explored to provide insight into the future directions of AI in pharmaceutical research. By bridging computational innovations with biological and clinical knowledge, AI promises to transform drug discovery into a more efficient, precise, and patient-centered process, ultimately accelerating the development of safe and effective therapeutics for a wide range of diseases.
Keywords: Artificial Intelligence, Drug Discovery, Machine Learning, Deep Learning, Target Identification, Clinical Trials, Drug Optimization.
Cite This Article:
Please cite this article in press Jay Vilas Giri et al., Artificial Intelligence (AI) Use In Drug Discovery, Indo Am. J. P. Sci, 2025; 12(12).
Number of Downloads : 10
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