Synthetic Lethality-based Identification of Targets for Anticancer Drugs in the Human Signaling Network.

ABSTRACT: Chemotherapy agents can cause serious adverse effects by attacking both cancer tissues and normal tissues. Therefore, we proposed a synthetic lethality (SL) concept-based computational method to identify specific anticancer drug targets. First, a 3-step screening strategy (network-based, frequency-based and function-based screening) was proposed to identify the SL gene pairs by mining 697 cancer genes and the human signaling network, which had 6306 proteins and 62937 protein-protein interactions. The network-based screening was composed of a stability score constructed using a network information centrality measure (the average shortest path length) and the distance-based screening between the cancer gene and the non-cancer gene. Then, the non-cancer genes were extracted and annotated usin

SUBMITTER: Liu L 

PROVIDER: S-EPMC5981615 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature