Essential Protein Identification from Protein Networks Using Topological and Biological Properties.

Essential proteins play a very important decisive role in the survival of a cellular organisms. Need for identifying essential proteins are increasing for its contribution to the field of drug analysis and synthetic biology is very huge. Centrality methods were the first used to identify essential proteins. Due to its high sensitivity towards network accuracy much more efficient methods which included the biological properties were developed. Cellular localization, biological process, gene expression and domains were some of the biological properties studied along with the network properties to predict essential proteins. This survey focus on studying various methods used to predict essential proteins and compare their performance.