Drug repositioning based on the heterogeneous information fusion graph convolutional network

• Published in: Briefings in bioinformatics Vol. 22; no. 6
• Main Authors: Cai, Lijun, Lu, Changcheng, Xu, Junlin, Meng, Yajie, Wang, Peng, Fu, Xiangzheng, Zeng, Xiangxiang, Su, Yansen
• Format: Journal Article
• Language: English
• Published: England 05.11.2021
• Subjects: Algorithms; Biomarkers; Databases, Pharmaceutical; Drug Development - methods; Drug Discovery - methods; Drug Repositioning; Humans; Models, Molecular; Reproducibility of Results; ROC Curve; Structure-Activity Relationship; graph convolutional network; heterogeneous information fusion; drug–disease association prediction; drug repositioning; drug

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-risked drugs, with potentially lower overall development costs and shorter development timelines. Therefore, there is...