Additional file 1. Supplementary Materials for iPNHOT: A knowledge-based approach for identifying protein-nucleic acid interaction hot spots. This file provides more detailed data for protein-nucleic acids complexes, all the features generated in this study, and other tables for analysis and discussion. Table S1: Protein-nucleic acid complexes in the training dataset. Table S3: Protein-nucleic acid complexes in the independent test set. Table S5: All features generated for building our model to predict hotspot on protein-NA interfaces. Table S6: The numerical values of 10 different kinds of properties of the 20 amino acids. Table S7: Features selected and the corresponding cross validation performance in the SFS process. Table S8: The features selected and the corresponding cross validation performance in the SFS process based on the original 97 features. Description of Statistically analysis of the correlations between hotspots and different features: This section also includes 6 figures (Figure S1-S6) which visually show the results of the statistically analysis of the 20 features selected by decision tree.