Back to search

Article

UniGEN-DDI: Computing drug-drug interactions using a unified graph embedding network

2024-10-01

Abstract excerpt

Finding drug-drug interaction is crucial for patient safety and treatment efficacy. Two drugs may show a synergistic effect but may sometimes cause a severe health issue, including lethality. Wet lab studies are often performed to understand such interactions but are limited by cost and time. However, the biochemical data generated can be explored to compute unknown interactions. Here, we developed a computational...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c3174501-1986-5393-bfbe-de4c5e4899d8
DOI
10.1101/2024.09.30.615812
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
UniGEN-DDI: Computing drug-drug interactions using a unified graph embedding networkDOI 10.1101/2024.09.30.615812
Select a neighboring publication to make it the new centre.