A weighted integration method based on graph representation learning for drug repositioning

H Lian, P Ding, C Yu, X Zhang, G Liu, B Yu - Applied Soft Computing, 2024 - Elsevier
The time-consuming and expensive nature of traditional drug discovery necessitates a cost-
effective approach to facilitate disease treatment. Drug repositioning, discovering innovative …

Drug repositioning based on weighted local information augmented graph neural network

Y Meng, Y Wang, J Xu, C Lu, X Tang… - Briefings in …, 2024 - academic.oup.com
Drug repositioning, the strategy of redirecting existing drugs to new therapeutic purposes, is
pivotal in accelerating drug discovery. While many studies have engaged in modeling …

Partner-specific drug repositioning approach based on graph convolutional network

X Sun, B Wang, J Zhang, M Li - IEEE Journal of Biomedical and …, 2022 - ieeexplore.ieee.org
Drug repositioning identifies novel therapeutic potentials for existing drugs and is
considered an attractive approach due to the opportunity for reduced development timelines …

Fusing higher and lower-order biological information for drug repositioning via graph representation learning

BW Zhao, L Wang, PW Hu, L Wong… - … on Emerging Topics …, 2023 - ieeexplore.ieee.org
Drug repositioning is a promising drug development technique to identify new indications for
existing drugs. However, existing computational models only make use of lower-order …

DRGCL: Drug Repositioning via Semantic-enriched Graph Contrastive Learning

X Jia, X Sun, K Wang, M Li - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Drug repositioning greatly reduces drug development costs and time by discovering new
indications for existing drugs. With the development of technology and large-scale biological …

Drug repositioning with adaptive graph convolutional networks

X Sun, X Jia, Z Lu, J Tang, M Li - Bioinformatics, 2024 - academic.oup.com
Motivation Drug repositioning is an effective strategy to identify new indications for existing
drugs, providing the quickest possible transition from bench to bedside. With the rapid …

Enhancing drug repositioning through local interactive learning with bilinear attention networks

X Tang, C Zhou, C Lu, Y Meng, J Xu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Drug repositioning has emerged as a promising strategy for identifying new therapeutic
applications for existing drugs. In this study, we present DRGBCN, a novel computational …

Drug repositioning based on the enhanced message passing and hypergraph convolutional networks

W Huang, Z Li, Y Kang, X Ye, W Feng - Biomolecules, 2022 - mdpi.com
Drug repositioning, an important method of drug development, is utilized to discover
investigational drugs beyond the originally approved indications, expand the application …

A weighted bilinear neural collaborative filtering approach for drug repositioning

Y Meng, C Lu, M Jin, J Xu, X Zeng… - Briefings in …, 2022 - academic.oup.com
Drug repositioning is an efficient and promising strategy for traditional drug discovery and
development. Many research efforts are focused on utilizing deep-learning approaches …

Drug repositioning based on the heterogeneous information fusion graph convolutional network

L Cai, C Lu, J Xu, Y Meng, P Wang, X Fu… - Briefings in …, 2021 - academic.oup.com
In silico reuse of old drugs (also known as drug repositioning) to treat common and rare
diseases is increasingly becoming an attractive proposition because it involves the use of de …