Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence
Abstract Since the 2019 novel coronavirus disease (COVID-19) outbreak in 2019 and the pandemic continues for more than one year, a vast amount of drug research has been conducted and few of them got FDA approval. Our objective is to prioritize repurposable drugs using a pipeline that systematically...
Saved in:
Main Authors: | Kanglin Hsieh, Yinyin Wang, Luyao Chen, Zhongming Zhao, Sean Savitz, Xiaoqian Jiang, Jing Tang, Yejin Kim |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/62b2501ae06e46a290cae495d7afa94f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A method for the rational selection of drug repurposing candidates from multimodal knowledge harmonization
by: Bruce Schultz, et al.
Published: (2021) -
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional Networks
by: Mapopa Chipofya, et al.
Published: (2021) -
Drug repurposing for tooth regeneration: The promising premises
by: T C Divya, et al.
Published: (2021) -
A Database of Drug Repurposing Clinical Trials in Oncology
by: Pan Pantziarka, et al.
Published: (2021) -
Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
by: Steve Rodriguez, et al.
Published: (2021)