A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification.

ABSTRACT:

Background

The advances in target control of complex networks not only can offer new insights into the general control dynamics of complex systems, but also be useful for the practical application in systems biology, such as discovering new therapeutic targets for disease intervention. In many cases, e.g. drug target identification in biological networks, we usually require a target control on a subset of nodes (i.e., disease-associated genes) with minimum cost, and we further expect that more driver nodes consistent with a certain well-selected network nodes (i.e., prior-known drug-target genes).

Results

Therefore, motivated by this fact, we pose and address a new and practical problem called as target control problem with objectives-guided optimization (TCO): how could we

SUBMITTER: Guo WF 

PROVIDER: S-EPMC5780855 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature