Thousands of proteins need to do their job in the right places at the right time for any cell to function properly. Sometimes, gene mutation prevent one or more of these proteins from working properly. By change in gene instruction, in protein making, a mutation can cause the protein to malfunction or to be missing completely. This may cause severe medical conditions. Any kind of treatment requires an initial identification of the mutation kind from the samples provided. Various techniques are already available and being used. In this paper we propose a method of mutation identification using graph theory properties.