Abstract: In the present study, the idea was to utilize the strain specific available genome or proteome by using ‘subtractive genomics approach’ which helped in the identification and characterization of strain specific drug targets along with comparative analysis within two of the Methicillin resistance Staphylococcus aureus (MRSA) strains i.e., MRSA398 and MRSA252.The protocol involved various bioinformatics’ tools and databases like similarity search between pathogen and host, essentiality study using the database of essential genes, metabolic functional association study using Kyoto Encyclopedia of Genes and Genomes Database (KEGG), cellular membrane localization analysis, drug bank database.Summary: This study aimed to identify and characterize strain specific essential protein targets, which will eventually help in the identification of druggable proteins in two strains of MRSA by using different Bioinformatic tools and databases. We adopting a subtractive genome approach within the domain of Computational Biology.
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