Jaipur National University

About Author:
Priyank Sharma
M. Pharm, Drug Regulatory Affairs
Jaipur National University
Jaipur, Rajasthan
Priyank2k4urwith@gmail.com

Abstract:
The Pharmaceutical industry represents one of the India’s strength.  The regulation of pharmaceuticals in India is generally seen to be in need of reform, and has been the subject of many official commissions since 1995. Most commentators agree that the state should intervene to prevent untrammeled market forces leading to citizens’ suffering, because adequate information about the costs and benefits of different pharmaceuticals is inaccessible to most users. But in India, a wide range of stakeholders must be considered before changes can be made to the regulatory framework.

About Authors:
Rakesh Bhatia*
School of Pharmaceutical Sciences,
Department of Pharmaceutical Chemistry,
Jaipur National University,
Jaipur-302025 (Rajasthan), India
*rakesh.mpharm1304@yahoo.com

Abstract
Chemical synthesis data and their biological screening have provided a vast amount of experimental data. As a result of that, availability of large amount of biological data information through molecular biology has made drug discovery and development a more complex method. To combat these problems, Quantitative structure-activity relationships (QSAR) emerged as a very useful tool in drug design. QSAR has been applied extensively and successfully over several decades to find predictive models for activity of bioactive agents. QSAR have brought revolution in drug discovery process by thedevelopment of mathematicalrelationships linking chemical structures and pharmacological activity in quantitative manner of series of compounds. Description of the molecular structure, electronic orbital reactivity and the role of structural and steric components has been the subject of mathematical and statistical analysis. Computational drug design method in QSAR is a rapidly growing field which is now a very important component in the discipline of medicinal chemistry. Virtual filtering and screening of combinatorial libraries have recently gained attention as methods complimenting the high-throughput screening and combinatorial chemistry. These chemoinformatic techniques rely heavily on quantitative structure-activity relationships (QSAR) analysis, a field with established methodology and successful history.By characterize a specific aspect of a molecule that is numbers containing structural information derived from the structural representation used for molecules under study called “Molecular descriptors” to find appropriate representations of the molecular structure of drug compoundsto obtain the structure-activity relationships in which these theoretical and computational methods are based, the ability to predict physicochemical, pharmacokinetic and toxicological properties of these leads are becoming increasingly important in reducing the number of expensive methods and late development failures. Thus thereby, QSAR certainly decreases the number of compounds to be synthesized by easing the selection of the most promising candidates. This review seeks to provide a review on role of molecular descriptors in the drug design in QSAR.