MAVGAE: a multimodal framework for predicting asymmetric drug-drug interactions based on variational graph autoencoder

Drug-drug interactions refer to the phenomena wherein the potency, duration, or effectiveness of one or multiple drugs undergo alterations of varying degrees as a result of their concurrent or sequential usage. The accurate identification of potential drug interactions plays a pivotal role in mitiga...

Full description

Bibliographic Details

Published in:	Computer methods in biomechanics and biomedical engineering Vol. 28; no. 7; pp. 1098 - 1110
Main Authors:	Deng, Zengqian, Xu, Jie, Feng, Yinfei, Dong, Liangcheng, Zhang, Yuanyuan
Format:	Journal Article
Language:	English
Published:	England Taylor & Francis 19.05.2025
Subjects:	Algorithms Artificial intelligence asymmetric drug-drug interaction Autoencoder Drug Interactions multimodal variational autoencoder multimodal asymmetric drug-drug interaction Artificial intelligence variational autoencoder
ISSN:	1025-5842, 1476-8259, 1476-8259
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!