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Optimization of Herbal Drugs using Soft Computing Approach
S. K. Nayak , P. K. Patra, P. Padhi, A. Panda
Pages - 34 - 39     |    Revised - 30-08-2010     |    Published - 30-10-2010
Volume - 1   Issue - 1    |    Publication Date - December 2010  Table of Contents
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KEYWORDS
Herbal drugs, GA. ANN, QCAR
ABSTRACT
The study presents the results of our investigation into the use of Genetic Algorithms (GA) and ANN for identifying near optimal design parameters of compositions of drug systems that are based on soft computing ( i.e.) for herbal drug design. Herbal medicine has been applied successfully in much clinical therapeutics since long throughout in world. The present study proposes the concept of Quantitative Composition–Activity Relationship (QCAR) and computational technique to predict bioactivity of herbal drug and designing of new herbal drug for a particular disease. Genetic algorithm investigated the relationship between chemical composition of a widely used herbal medicine in India, and its bioactivity effect. The predicted results indicate that the proposed computing method is an efficient tool to herbal drug design.
CITED BY (1)  
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Associate Professor S. K. Nayak
- India
simanta.nayak@eastodissa.ac.in
Dr. P. K. Patra
- India
Dr. P. Padhi
- India
Mr. A. Panda
- India