Predicting effective drug combinations using gradient tree boosting based on features extracted from drug-protein heterogeneous network.

ABSTRACT:

Background

Although targeted drugs have contributed to impressive advances in the treatment of cancer patients, their clinical benefits on tumor therapies are greatly limited due to intrinsic and acquired resistance of cancer cells against such drugs. Drug combinations synergistically interfere with protein networks to inhibit the activity level of carcinogenic genes more effectively, and therefore play an increasingly important role in the treatment of complex disease.

Results

In this paper, we combined the drug similarity network, protein similarity network and known drug-protein associations into a drug-protein heterogenous network. Next, we ran random walk with restart (RWR) on the heterogenous network using the combinatorial drug targets as the initial probability, and

SUBMITTER: Liu H 

PROVIDER: S-EPMC6902475 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature