Prediction of phosphorylation sites based on the integration of multiple classifiers.
“Prediction of phosphorylation sites based on the integration of multiple classifiers.”, Genet Mol Res, vol. 16, no. 1, 2017.
, The great majority of biological sequences share significant similarity with other sequences as a result of evolutionary processes, and identifying these sequence similarities is one of the most challenging problems in bioinformatics. In this paper, we present a discrete artificial bee colony (ABC) algorithm, which is inspired by the intelligent foraging behavior of real honey bees, for the detection of highly conserved residue patterns or motifs within sequences.