Large-scale prediction of adverse drug reactions-related proteins with network embedding.

ABSTRACT:

Motivation

Adverse drug reactions (ADRs) are a major issue in drug development and clinical pharmacology. As most ADRs are caused by unintended activity at off-targets of drugs, the identification of drug targets responsible for ADRs becomes a key process for resolving ADRs. Recently, with the increase in the number of ADR-related data sources, several computational methodologies have been proposed to analyze ADR-protein relations. However, the identification of ADR-related proteins on a large scale with high reliability remains an important challenge.

Results

In this article, we suggest a computational approach, Large-scale ADR-related Proteins Identification with Network Embedding (LAPINE). LAPINE combines a novel concept called single-target compound with a network embedd

SUBMITTER: Park J 

PROVIDER: S-EPMC9825773 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature