Satish kumar Yadav,
Manyta Yadav,
Mohd. Wasiullah,
Piyush Yadav,
Priyanshu Upadhyay,
- Associate Professor Department of Pharmacy, Prasad Institute of Technology, Jaunpur Uttar Pradesh India
- Professor Department of Pharmacy, Prasad Institute of Technology, Jaunpur Uttar Pradesh India
- Principal Department of Pharmacy, Prasad Institute of Technology, Jaunpur Uttar Pradesh India
- Academic Head Department of Pharmacy, Prasad Institute of Technology, Jaunpur Uttar Pradesh India
- Research Scholar Department of Pharmacy, Prasad Institute of Technology, Jaunpur Uttar Pradesh India
Abstract
Quantitative Structure-Activity Relationship (QSAR) stands at the forefront of Computer-Aided Drug Design (CADD), providing a systematic framework for understanding the relationship between the chemical structure of molecules and their biological activity. This review delves into the multifaceted realm of QSAR methodologies within the landscape of drug discovery. Through an exploration of diverse QSAR models, molecular descriptors, validation techniques, and recent advancements, this article aims to elucidate the pivotal role of QSAR in accelerating the development of novel therapeutics. By dissecting the intricacies of QSAR analysis and its application in rational drug design, this review sheds light on the transformative potential of computational modeling in shaping the future of pharmaceutical research. Quantitative Structure-Activity Relationship (QSAR) is a pivotal technique in Computer-Aided Drug Design (CADD) that aids in the rational design of novel drug candidates. This review provides a comprehensive overview of QSAR methodologies, their applications, strengths, limitations, and recent advancements in the field of CADD. By exploring various QSAR models, datasets, molecular descriptors, and statistical techniques, this article aims to shed light on the significance of QSAR in accelerating drug discovery processes.
Keywords: Receptor, drug designing, biological interaction, molecular docking, modelling, drug discovery, computer aided drug design, docking, multi-target searching, QSAR.
[This article belongs to Research & Reviews: A Journal of Pharmaceutical Science(rrjops)]
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Research & Reviews: A Journal of Pharmaceutical Science
| Volume | 15 |
| Issue | 02 |
| Received | May 10, 2024 |
| Accepted | May 15, 2024 |
| Published | July 19, 2024 |
