In PLoS One this week, researchers in the US and China describe their mRMR feature selection and analysis method to predict protein domain. The team combined the techniques of random forest, maximum relevance minimum redundancy, and incremental feature selection, and incorporated physicochemical and biochemical properties, sequence conservation, residual disorder, secondary structure, and solvent accessibility to make their predictions.