ITSRepeats: Amino Acids Repeats and Composition Differences for Detecting Proteins Causing Bipolar Related Disorder

Abstract

Bipolar disorder is a threat that needs an efficient solution to detect in earlier times for leading the normal life of human beings. Simple Sequence Editor (SSE) is the tool used to analyze the nucleotide and amino acid sequence that helps in this proposed system to detect the real composition. This paper proposed the algorithm called Intelligent Rule-based Triplet and Single Residue Repeats (ITSRepeats) in proteins to classify the protein sequence which causes bipolar related disorder or not. The hamming distance was used to find the similarity between the protein strings which increase the efficiency initially, the patterns of the proteins are extracted and analyzed from the datasets SwissProt, PDBS25, Surface Residues and DisProt. The performance of the proposed algorithms was evaluated based on the performance among these four datasets for similar residues.