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QSAR analysis for antimicrobial activity of veratric acid derivatives using artificial neural network | Abstract

Der Pharma Chemica
Journal for Medicinal Chemistry, Pharmaceutical Chemistry, Pharmaceutical Sciences and Computational Chemistry

ISSN: 0975-413X
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Abstract

QSAR analysis for antimicrobial activity of veratric acid derivatives using artificial neural network

Author(s): M. Abdolmaleki, A. A. Suratgar and R. Sadeghi Sarabi

This paper uses artificial neural network in Quantitative Structure-Activity Relationships (QSAR) model of the antimicrobial activity of veratric acid derivatives. The application of ANN as a QSAR has been provided with respect to the prediction of antimicrobial activity of veratric acid derivatives based on their topological parameters generated by chemistry calculation. The simulation results of ANN QSAR model are very promising.


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