In a Protein–Protein Interaction Network (PPIN), there are proteins that are more important than the others, the ones which are more responsible for the biological reactions than the rest. Our work is to find an algorithm to predict essential proteins from a given dataset of the undirected unweighted PPIN. The prediction score of our algorithm is more than 80% of the YDIP dataset. Finding important proteins is never an easy undertaking because it involves hard and time-consuming experimental methods. Many protein–protein interactions are now possible due to high throughput technology advancements, which have created previously unheard-of opportunities for identifying protein essentialities at the interaction network level. Numerous computer methods based on network topologies have been proposed for the prediction of essential proteins. Therefore, the field of research and development needs a new, reliable essential protein finding technique.