Compound-protein interaction prediction based on heterogeneous network reveals potential antihepatoma agents.

ABSTRACT: Despite the development of an increasing number of multi-kinase and immune checkpoint inhibitors for hepatocellular carcinoma (HCC), improvement in cancer survival remains limited due to their similar structures and targets. Natural products (NPs) maintain diverse structures and activities and are important sources of drug discovery. Currently, most of active NPs exhibit ambiguous binding targets and mechanisms. Herein, we proposed the CIPHEN (compound-protein interactions prediction based on the heterogeneous network) to predict potential antihepatoma NPs and their targets. The evaluation of canonical compound-protein interactions (CPIs) databases and independent test demonstrated the good ability of CPIHN to reveal known and unreported CPIs. Both predic

SUBMITTER: Wang YC 

PROVIDER: S-EPMC11301071 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature