Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins


In this work, We evaluated the performance of 11 different DNA binding residues prediction methods with unbiased, stringent and diverse datasets for DNA binding proteins based on various aspects: (i) 7 structural classes, (ii) 86 folds, (iii) 106 superfamilies, (iv) 194 families, (v) 15 binding motifs, (vi) single/double stranded DNA, (vii) DNA conformation (A, B, Z etc.) and (viii) three functions. Further, the best performances of different methods in different datasets have been revealed. The information gained in this work would be helpful as well as necessary for biologists to choose the best method for designing experiments.

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Reference:  Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins
                    Nagarajan, R., Shandar Ahmad. and Gromiha, M. M.
                    Nucleic Acids Research (2013), 41 (16), 7606-7614.

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