Predicting the toxic side effects of drug interactions using chemical structures and protein sequences

Predicting the toxic side effects of drug interactions using chemical structures and protein sequences

Abstract The study aims to address the critical issue of toxic side effects resulting from drug combinations, which can significantly increase health risks, clinical complications, and lead to drug being withdrawn from the market. A model named TSEDDI (toxic side effects of drug-drug interaction) ha...

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Bibliographic Details
Main Authors: Liyuan Zhang, Yongxin Sheng, Jinxiang Yang, Zuhai Hu, Bin Peng
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Adverse DDI prediction
Multi-head self-attention mechanism
Deep learning
Feature extraction
Online Access:https://doi.org/10.1038/s41598-024-82981-9
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https://doi.org/10.1038/s41598-024-82981-9

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