Advances in Artificial Intelligence for Drug Discovery and Development: A Review of Current Trends and Applications

Authors

  • E.Bharath Research student, Department of Pharmaceutics, Surya School of Pharmacy, Villupuram, India
  • T.S.Thilagavathi Research student, Department of Pharmaceutics, Surya School of Pharmacy, Villupuram, India
  • D.Jeeva Assistant Professor, Surya School of Pharmacy, Villupuram, India
  • S.Anbazhagan Professor, Department of Pharmaceutical Chemistry, Surya School of Pharmacy, Villupuram, India
  • S.A.Vadivel Associate Professor, Surya School of Pharmacy, Villupuram, India

DOI:

https://doi.org/10.22270/ajprd.v13i2.1541

Abstract

The rapid advancement of Artificial Intelligence (AI) has revolutionized drug discovery and development, reshaping the pharmaceutical landscape with its computational power and data-driven approaches. AI-driven methodologies, including deep learning, machine learning, and neural networks, have significantly expedited target identification, lead optimization, and drug repurposing, thereby reducing both time and cost associated with traditional drug development. Virtual screening, molecular docking, and predictive modelling have enabled more precise drug-target interactions, enhancing therapeutic efficacy and minimizing potential adverse effects. Moreover, AI's integration into chemical synthesis, polypharmacology, and biomarker discovery has expanded its applications in personalized medicine. This review explores the latest trends and applications of AI in drug discovery, emphasizing its role in optimizing drug design, predicting novel therapeutics, and improving preclinical and clinical trial success rates. While AI has demonstrated remarkable potential, challenges such as data bias, interpretability, and regulatory concerns remain critical barriers to its full-scale implementation. Addressing these challenges will be essential to unlocking AI’s transformative capabilities in revolutionizing modern drug development.

 

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Author Biographies

E.Bharath, Research student, Department of Pharmaceutics, Surya School of Pharmacy, Villupuram, India

Research student, Department of Pharmaceutics, Surya School of Pharmacy, Villupuram, India

T.S.Thilagavathi, Research student, Department of Pharmaceutics, Surya School of Pharmacy, Villupuram, India

Research student, Department of Pharmaceutics, Surya School of Pharmacy, Villupuram, India

D.Jeeva, Assistant Professor, Surya School of Pharmacy, Villupuram, India

Assistant Professor, Surya School of Pharmacy, Villupuram, India

S.Anbazhagan, Professor, Department of Pharmaceutical Chemistry, Surya School of Pharmacy, Villupuram, India

Professor, Department of Pharmaceutical Chemistry, Surya School of Pharmacy, Villupuram, India

S.A.Vadivel, Associate Professor, Surya School of Pharmacy, Villupuram, India

Associate Professor, Surya School of Pharmacy, Villupuram, India

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Published

2025-04-15

How to Cite

E.Bharath, T.S.Thilagavathi, D.Jeeva, S.Anbazhagan, & S.A.Vadivel. (2025). Advances in Artificial Intelligence for Drug Discovery and Development: A Review of Current Trends and Applications. Asian Journal of Pharmaceutical Research and Development, 13(2), 67–78. https://doi.org/10.22270/ajprd.v13i2.1541

Issue

Vol. 13 No. 2 (2025): Volume 13 Issue 2 March- April. 2025

Section

Review Articles

Copyright (c) 2025 E.Bharath, T.S.Thilagavathi, D.Jeeva, S.Anbazhagan, S.A.Vadivel

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