NEURAL NETWORK IN DRUG DISCOVERY – LEARNING THE STRUCTURE ACTIVITY RELATIONSHIP OF CHEMICAL MOLECULE MONOAMINE OXIDASE (MAO) INHIBITION

C.R.Kavitha

Article Information

Published In Volume 1, Issue 9 (2015)
Publication Date July 26, 2026
Manuscript ID IJCRCST-DECEMBER15-01
Article Type Research Paper
Pages 326 - 333
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Abstract

The biologically inspired Neural Networks are computer programs designed to simulate the way in which the
human brain processes information. Neural network gather their knowledge by detecting the patterns and relationships in
data and learn through experience. Neural network was not only used for classification of physiologically active substances
but also for solving the quantitative structure activity relationship problem. An important part of drug design and
discovery is to understand the structure-activity relationship of chemical molecules. Without this understanding, drug
design and discovery becomes an intractable, blind search problem. The goal of drug discovery in this study was to learn
structural pattern associated with Monoamine Oxidation both in high and low inhibition.

Keywords

Drug Design Drug Discovery Monoamine Oxidation Neural Network Pattern Recognition

Authors

C.R.Kavitha

How to Cite this Article

C.R.Kavitha (2015). "NEURAL NETWORK IN DRUG DISCOVERY – LEARNING THE STRUCTURE ACTIVITY RELATIONSHIP OF CHEMICAL MOLECULE MONOAMINE OXIDASE (MAO) INHIBITION". International Journal of Contemporary Research in Computer Science and Technology, 1(9), pp. 326-333.