Predict multi-type drug-drug interactions in cold start scenario.

ABSTRACT:

Background

Prediction of drug-drug interactions (DDIs) can reveal potential adverse pharmacological reactions between drugs in co-medication. Various methods have been proposed to address this issue. Most of them focus on the traditional link prediction between drugs, however, they ignore the cold-start scenario, which requires the prediction between known drugs having approved DDIs and new drugs having no DDI. Moreover, they're restricted to infer whether DDIs occur, but are not able to deduce diverse DDI types, which are important in clinics.

Results

In this paper, we propose a cold start prediction model for both single-type and multiple-type drug-drug interactions, referred to as CSMDDI. CSMDDI predict not only whether two drugs trigger pharmacological reactions but also

SUBMITTER: Liu Z 

PROVIDER: S-EPMC8851772 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature