Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein Complexes.

ABSTRACT:

Background

Computational approaches aided by computer science have been used to predict essential proteins and are faster than expensive, time-consuming, laborious experimental approaches. However, the performance of such approaches is still poor, making practical applications of computational approaches difficult in some fields. Hence, the development of more suitable and efficient computing methods is necessary for identification of essential proteins.

Method

In this paper, we propose a new method for predicting essential proteins in a protein interaction network, local interaction density combined with protein complexes (LIDC), based on statistical analyses of essential proteins and protein complexes. First, we introduce a new local topological centrality, local interacti

SUBMITTER: Luo J 

PROVIDER: S-EPMC4488326 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature