iScore

• Provides a state-of-the-art scoring predictor trained on the data of Docking Benchmark 5 (https://zlab.umassmed.edu/benchmark/)
• Provides easy-to-use interface to train a new scoring predictor
• Easily extended with more different and various features of protein interface
• Active and competitive player in the CAPRI challenge for 3D structure predictions of protein complexes (http://www.capri-docking.org)

iScore offers simple solutions to classify protein-protein interfaces using a support vector machine approach on graph kernels. The simplest way to use iScore is through dedicated binaries that hide the complexity of the approach and allows access to the code with simple command line interfaces. The two binaries are iscore.train and iscore.predict that respectively train a model using a trainging set and use this model to predict the near-native character of unkown conformations.