Functionally validated disease resistance genes and randomly generated negative dataset was used for model building.

Almost all available important features were extracted and used for model building making it more robust.

High prediction accuracy of the model was observed on the test dataset justifying its high reliability.

Novel method is being implemented using Perl programming language and is freely available as a standalone tool.