Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-“junk” codon delineation

摘要

Objective:The present study is concerned with the need that exists in bioinformatics to identify and delineate overlapping codon and noncodon structures in a deoxyribonucleic acid (DNA) complex so as to ascertain the boundary of separation between them. Codons refer to those parts in a DNA complex encoded towards forming a desired set of proteins. Also coexist in the DNA structure noncodons (or “junk” codons), whose functions are not so well defined. Such codon and noncodon parts (at least over some sections of a DNA chain) may conform to diffused (overlapping) states exhibiting sharpless boundaries with indistinctive statistics of occurrence of their constituents. Such overlapping mix of codon and noncodon entities constitutes a (fuzzy) universe with information constituent having a fuzzy structure, which can only be identified in descriptive norms with characteristic membership of belongingness to certain attributes. Hence, this work is directed to develop a fuzzy inference engine (FIE), which delineates the fuzzy codon–noncodon parts.