Drug Side-Effect Prediction Via Random Walk on the Signed Heterogeneous Drug Network.

ABSTRACT: Drug side-effects have become a major public health concern as they are the underlying cause of over a million serious injuries and deaths each year. Therefore, it is of critical importance to detect side-effects as early as possible. Existing computational methods mainly utilize the drug chemical profile and the drug biological profile to predict the side-effects of a drug. In the utilized drug biological profile information, they only focus on drug-target interactions and neglect the modes of action of drugs on target proteins. In this paper, we develop a new method for predicting potential side-effects of drugs based on more comprehensive drug information in which the modes of action of drugs on target proteins are integrated. Drug information of multiple types is modeled as a signed he

SUBMITTER: Hu B 

PROVIDER: S-EPMC6832386 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature