Abstract
DNA splicing is a fundamental optimization problem in Computational Biology. An optimized feasible solution will help in better comprehension of protein coding regions prediction, genetic disorders, cell growth, function and good translation of DNA to RNA. We have proposed a novel and robust methodology that provides more optimal prediction of exonic regions in Eukaryotes.
Our optimized splicing mechanism introduces three new indicator sequences attributed from electron correlation energy changes at three different torsion angles. The PSD and traditional spectral analysis mechanism showed optimal genic regions prediction with 75 % reduction in computations and reduction of exon-intron noise due to non planar structure of base pairs. We formulated our results at variant genic sequences namely PHIX174 (accession number V01128 from location 101 containing 1284 base pairs) and gene F56F11.5 of C elegans (Accession number AF099922). We noticed optimal peak values at exonic regions clearly distinguished as compared to ones obtained from existing indicator sequences at DFT and filter approaches.