Identification of essential proteins based on edge features and the fusion of multiple-source biological information.

ABSTRACT:

Background

A major current focus in the analysis of protein-protein interaction (PPI) data is how to identify essential proteins. As massive PPI data are available, this warrants the design of efficient computing methods for identifying essential proteins. Previous studies have achieved considerable performance. However, as a consequence of the features of high noise and structural complexity in PPIs, it is still a challenge to further upgrade the performance of the identification methods.

Methods

This paper proposes an identification method, named CTF, which identifies essential proteins based on edge features including h-quasi-cliques and uv-triangle graphs and the fusion of multiple-source information. We first design an edge-weight function, named EWCT, for computing the

SUBMITTER: Liu P 

PROVIDER: S-EPMC10193741 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature