The genetic code is the arrangement of rules by which information encoded in genetic ma- terial(DNA or RNA successions) is converted into proteins (amino acid groupings) by living cells.Every amino acid is determined by a trio of nucleotides, known as a codon.There are four distinct sorts of nucleotides adenine(A), guanine(G), cytosine(C), and thymine(T).The genetic code incorporates 64 potential changes, or mixes, of three-letter nucleotide groupings that can be produced using the four nucleotides.From the biological perspective, studying the features of the code and survey the degree of its potential optimality is assuming a significant part in ensuring the genetic code structure against the expected changes in the translation of the protein-coding successions produced by single nucleotide replacements. As of late, another over- all methodology has been acquainted with assessing the nature of the hereditary code structure. This methodology comes from graph theory and used to depict properties of the genetic code as far as conductance. The conductance parameter gauges the robustness of codon groups against the potential mistakes happening in protein-coding sequences and their translation. The idea of this project is to add two new bases to the first four bases and use graph theory with con- ductance measures to assess and evaluate the structure of genetic code.