Author(s): Venkatesh Kamath, Aravinda Pai

Email(s): pai.aravind@gmail.com , aravind.pai@manipal.edu

DOI: 10.5958/0974-360X.2017.00574.1   

Address: Venkatesh Kamath1, Aravinda Pai2*
1Deaprtment of Pharmaceutical biotechnology, Manipal College of Pharmaceutical Sciences, Manipal University, Manipal, Karnataka, India
2Deaprtment of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal University, Manipal, Karnataka, India
*Corresponding Author

Published In:   Volume - 10,      Issue - 9,     Year - 2017


ABSTRACT:
The last decade witnessed several scientific experiments with the aim to correlate the structure of chemical entities to their biological activities, toxicities and other molecular properties. Chemical species are mathematically represented based on specified algorithms in molecular descriptors. They play extremely important role in the field of chemistry, pharmacy, environmental toxicology and health research. Till today, more than 5000 molecular descriptors being reported and are calculated mainly using dedicated software's, which are run on advanced machines. Molecular descriptors play important roles in the fields of quantitative structure–activity relationship studies (QSAR) as well as quantitative structure– property relationship studies (QSPRs).The path breaking progress in the field of chemoinformatics has showed us new paths for identifying key links between the molecular structure and their biological properties. In the present review, some of the pharmaceutically important molecular descriptors and their applications are presented.


Cite this article:
Venkatesh Kamath, Aravinda Pai. Application of Molecular Descriptors in Modern Computational Drug Design –An Overview. Research J. Pharm. and Tech. 2017; 10(9): 3237-3241. doi: 10.5958/0974-360X.2017.00574.1

Cite(Electronic):
Venkatesh Kamath, Aravinda Pai. Application of Molecular Descriptors in Modern Computational Drug Design –An Overview. Research J. Pharm. and Tech. 2017; 10(9): 3237-3241. doi: 10.5958/0974-360X.2017.00574.1   Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2017-10-9-74


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RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

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