Bulletin of Stomatology and Maxillofacial Surgery
ISSN 1829-006X
2025; 361–384
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IMPLEMENTING ARTIFICIAL INTELLIGENCE IN DRUG RESEARCH DEVELOPMENT

Satya Obbalareddy*, Sanyogita Shahi, Anubhav Dubey

Assistant Professor, Department of Health System Management Studies, JSS Academy of Higher Education and Research, Mysuru-570004. India. · Department of Science (Chemistry), Kalinga University, Raipur, Chhattisgarh 492101. India. · Department of Pharmacology, Maharana Pratap College of Pharmacy, Kanpur, U.P, 209217 India.

Received: 2026-04-08 · Published: 2025-07-25

© 2025 The Author(s) and the original publisher.

CC BY-NC 4.0 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Original title
IMPLEMENTING ARTIFICIAL INTELLIGENCE IN DRUG RESEARCH DEVELOPMENT
Authors
Satya Obbalareddy, Sanyogita Shahi, Anubhav Dubey
Source journal
Bulletin of Stomatology and Maxillofacial Surgery
Published
2025-07-25
Licence
Creative Commons Attribution-NonCommercial 4.0 International
Original
https://doi.org/10.58240/1829006X-2025.21.6-361

Abstract

The application of artificial intelligence in drug development marks a momentous shift in the realm of pharmaceutical research. This technological advancement combines advanced computer methods with traditional scientific investigation in order to overcome long-standing challenges. The purpose of this review article is to shed light on the many uses of artificial intelligence as they pertain to the different stages of medication development, highlighting major developments and approaches. This article looks at how AI is used in the design of drugs, Poly-Pharmacology, chemical synthesis, drug repurposing, and the prediction of pharmacological properties like bioactivity, toxicity, and physicochemical features. The paper discusses the obstacles and constraints found in the field of artificial intelligence (AI), including data quality, generalizability, computing needs, and ethical issues. This is in spite of the fact that AI has recently made some promising improvements. This study highlights the potential of artificial intelligence (AI) to dramatically improve drug development by providing a complete review of the role that AI plays in drug discovery. However, it also acknowledges the challenges that need to be solved in order to fully realize the benefits that its use may provide.
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