Author(s): Shivam Gupta, M. Yamuna

Email(s): myamuna@vit.ac.in

DOI: 10.5958/0974-360X.2018.00756.4   

Address: Shivam Gupta, M. Yamuna
VIT, Vellore
*Corresponding Author

Published In:   Volume - 11,      Issue - 9,     Year - 2018


ABSTRACT:
Medicines have many predictable properties like water solubility, melting point, boiling point and so on. These are related to the molecular structure of the medicine. These molecular structures can be represented as graph theory graph structures. In this paper we propose a method of determining the predictable properties using graph eccentricity and multiple regression.


Cite this article:
Shivam Gupta, M. Yamuna. Physiochemical Properties of Medicines – Using Graph Eccentricity and Multiple Regression. Research J. Pharm. and Tech 2018; 11(9): 4112-4118. doi: 10.5958/0974-360X.2018.00756.4

Cite(Electronic):
Shivam Gupta, M. Yamuna. Physiochemical Properties of Medicines – Using Graph Eccentricity and Multiple Regression. Research J. Pharm. and Tech 2018; 11(9): 4112-4118. doi: 10.5958/0974-360X.2018.00756.4   Available on: https://rjptonline.org/AbstractView.aspx?PID=2018-11-9-71


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

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