Development of Machine Learning Based methods for Prediction of inhibitors for Various Drug Targets in Leishmania Mexicana and Trypanosoma Brucei

Abstract

The research work is based on the Development of machine learning based methods for prediction of inhibitors for various drug targets in Leishmania mexicana and Trypanosoma brucei .These both organisms are responsible for various diseases in humans .So there is a need to develop Cheminformatics model based on machine learning . First of all, you need to calculate Descriptors. After calculation of the descriptors determination of inhibitors and non –inhibitors .Through the descriptors calculated development of the Cheminformatics model based on machine learning. Machine learning models like ANN , Multilayer perceptron with the help of tools like SVM light and Weka package .Then evaluation of the model must be done with the help of parameters like Sensitivity , Specificity , Accuracy . Models whose accuracy is between .5 – 1 is considered as good model and model having accuracy = 1 is perfect model.