Accelerating Drug Discovery with AI: Transforming the Pharmaceutical Pipeline

Year : 2025 | Volume : 12 | Issue : 02 | Page :
    By

    Aditya Pratap Singh,

  • Akanksha Dwivedi,

  • G.N. Darwhekar,

  1. Student, Department of Pharmaceutics, Acropolis Institute of Pharmaceutical Education and Research, Indore, Madhya Pradesh, India
  2. Associate Professor, Department of Pharmaceutics, Acropolis Institute of Pharmaceutical Education and Research, Indore, Madhya Pradesh, India
  3. Principal, Department of Pharmacy, Acropolis Institute of Pharmaceutical Education and Research, Indore, Madhya Pradesh, India

Abstract

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The revolutionary potential of artificial intelligence (AI) is examined in this essay the pharmaceutical industry, highlighting its application across the drug development lifecycle. Artificial Intelligence, specifically via deep learning models and machine learning (ML) such as GANs, RNNs, and transformers, enhances drug discovery, formulation, toxicity prediction, and clinical trials. It streamlines processes like identification of targets, virtual screening, modelling of structure-activity relationships, and medication repurposing. AI is also employed in optimizing formulations for controlled and immediate release tablets, capsules, and advanced drug delivery systems. Despite its possibilities, obstacles like data availability, model interpretability, and lack of clinical expertise remain. The article concludes that AI has already demonstrated significant impact in pharmaceutical R&D and is poised to further revolutionize personalized medicine, improve patient outcomes, and accelerate innovation in the sector.

Keywords: Artificial Intelligence, Machine learning, Drug discovery, formulation challenge, AI in pharmaceutical business.

[This article belongs to Research & Reviews: A Journal of Drug Design & Discovery ]

How to cite this article:
Aditya Pratap Singh, Akanksha Dwivedi, G.N. Darwhekar. Accelerating Drug Discovery with AI: Transforming the Pharmaceutical Pipeline. Research & Reviews: A Journal of Drug Design & Discovery. 2025; 12(02):-.
How to cite this URL:
Aditya Pratap Singh, Akanksha Dwivedi, G.N. Darwhekar. Accelerating Drug Discovery with AI: Transforming the Pharmaceutical Pipeline. Research & Reviews: A Journal of Drug Design & Discovery. 2025; 12(02):-. Available from: https://journals.stmjournals.com/rrjoddd/article=2025/view=0


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Regular Issue Subscription Original Research
Volume 12
Issue 02
Received 08/06/2025
Accepted 26/06/2025
Published 01/08/2025
Publication Time 54 Days
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