The optimality of the standard genetic code assessed by an eight-objective evolutionary algorithm

Table 1 The values of the measure m_s, which describe the relations between the SGC and the theoretical optimized codes obtained in the single-objective optimization algorithm under the BS and US models of the genetic code

The same eight objectives were also used in the multi-objective optimization (Table 2). Values lower than 50% indicate that the SGC is closer to the theoretical code minimizing the costs in amino acid replacements rather than to the codes maximizing them. The objectives represent the following amino acid properties: BLAM - electric properties, BIOV - hydrophobicity, MAXF - alpha and turn propensities, TSAJ - physicochemical properties, NAKH - residue propensity, CEDJ - composition, LIFS - beta propensity and MIYS - intrinsic propensities

ISSN: 2730-7182