%0 Journal Article
%T Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search
%A Szab¨®ov¨¢ Andrea
%A Ku£¿elka Ond£¿ej
%A £¿elezny Filip
%A Tolar Jakub
%J BMC Bioinformatics
%D 2012
%I BioMed Central
%R 10.1186/1471-2105-13-s10-s3
%X We contribute a novel, ball-histogram approach to DNA-binding propensity prediction of proteins. Unlike state-of-the-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.
%U http://www.cs.gsu.edu/isbra11/