Szabóová, A. - Kuželka, O. - Železný, F. - Tolar, J.Prediction of DNA-Binding Propensity of Proteins by the Ball-Histogram Method Using Automatic Template Search In: BMC Bioinformatics [online]. 2012, vol. 13, no. Suppl 10, p. 1-11. Dostupné z: http://www.biomedcentral.com/content/pdf/1471-2105-13-S10-S3.pdf13. ISSN 1471-2105.
We contribute a novel, ball-histogram approach to DNA-binding propensity prediction of proteins. Unlike state-ofthe-
art methods based on constructing an ad-hoc set of features describing physicochemical properties of the
proteins, the ball-histogram technique enables a systematic, Monte-Carlo exploration of the spatial distribution of
amino acids complying with automatically selected properties. This exploration yields a model for the prediction of
DNA binding propensity. We validate our method in prediction experiments, improving on state-of-the-art
accuracies. Moreover, our method also provides interpretable features involving spatial distributions of selected
amino acids.