SpotOn
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Abstract
SpotOn is a robust algorithm developed to identify and classify the interfacial residues as Hot-Spots (HS) and Null-Spots (NS) with a final accuracy of 0.95 and a sensitivity of 0.95 on an independent test set. The predictor was developed using an ensemble learning algorithm with up-sampling of the minor class and was trained on a large number of complexes and on a high number of different structural- and evolutionary sequence-based features.
Citation
Moreira and Koukos et al. (2017), SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots, Scientific Reports 7:8007.
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