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In this study, prediction of physiochemical properties of catalytic sites residues using a suitable Artificial Neural Networking (ANN) Backpropagation algorithm coupled with a set of structural proteins with the properties of their amino acid residues. The method has been applied to a set of 100 structural proteins from the Protein Data Bank (PDB.Using Ligplot program for searching of active site residues the identified amino acid residues were classified in 15 different categories based on their physiochemical properties. After classification of active and non active site amino acids, their...

The book covers application of various machine learning methodologies such as Support vector machine, Artificial neural network and Bayesian classifier on biological data. Individual prediction models and their comparison in terms of accuracy are also presented. The biological data sets were collected from diverse databases to develop unbiased models. This book presents complete research overview on application of machine learning using biological data.