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This paper describes a new machine learning approach for prediction of DNA-binding residues from protein sequence data. Several biologically relevant features, including biochemical properties of amino acid residues and evolutionary information of protein sequences, were selected for input encoding. The evolutionary information was represented as position-specific scoring matrices (PSSMs) and several...
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