Large-scale identification of human protein function using topological features of interaction network.

ABSTRACT: The annotation of protein function is a vital step to elucidate the essence of life at a molecular level, and it is also meritorious in biomedical and pharmaceutical industry. Developments of sequencing technology result in constant expansion of the gap between the number of the known sequences and their functions. Therefore, it is indispensable to develop a computational method for the annotation of protein function. Herein, a novel method is proposed to identify protein function based on the weighted human protein-protein interaction network and graph theory. The network topology features with local and global information are presented to characterise proteins. The minimum redundancy maximum relevance algorithm is used to select 227 optimized feature subsets and support vector machine te

SUBMITTER: Li Z 

PROVIDER: S-EPMC5111120 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature