Published November 23, 2022 | Version v1.0.0
Workflow Open

COVID-19 Knowledge Graph: A semantic resource embedding biological and chemical entities

  • 1. Fraunhofer Institute of Translation Medicine and Pharmacology

Contributors

Project leader:

  • 1. Fraunhofer Institute of Translation Medicine and Pharmacology

Description

A Knowledge graph representation of compounds and associated biological entities in the BY-COVID and EOSC Future project.

Current status

  • Number of Nodes: 35952
  • Number of Edges: 279462
  • Human Proteins: 1347
  • Assay: 15835
  • Chemical/Compound: 4096
  • Mechanism of Action: 739
  • Pathway: 1513
  • Disease: 1585
  • SideEffect: 7420
  • Biological Process: 2085
  • Molecular Function: 1332

Please check the BY_COVID_update_August.ipynb for understanding step wise process of KG generation and KG statistics. The KG has been exported to formats such as graphml, sif and so on for visualizations in other platforms. For example, the graphml file can be imported to Cytoscape directly. These files are located in 'data\export' folder.

 

Files

Fraunhofer-ITMP/BY-COVID-KG-v1.0.0.zip

Files (79.5 MB)

Name Size Download all
md5:54c734d7f5b5c85df5ab64cbe7df3b07
79.5 MB Preview Download

Additional details

Funding

EOSC Future – EOSC Future 101017536
European Commission
BY-COVID – Beyond COVID 101046203
European Commission