COVID-KOP
COVID-KOP integrates the ROBOKOP knowledge graph with curated CORD-19 literature to enable biomedical reasoning for hypothesis generation and drug repurposing against SARS-CoV-2.
Key Features:
- Knowledge Graph Integration: Integrates the ROBOKOP knowledge graph with newly curated and annotated data from the CORD-19 collection.
- Biomedical Reasoning: Applies biomedical reasoning across integrated datasets to reveal connections among drugs, targets, pathways, and diseases.
- Drug Repurposing Focus: Supports hypothesis testing and exploration of known drugs and clinical drug candidates for repurposing against SARS-CoV-2.
- Rich Biomedical Content: Leverages ROBOKOP content on drug interactions, biological pathways, and disease mechanisms.
- CORD-19 Annotation: Incorporates annotations from recent COVID-19 research in the CORD-19 literature corpus.
Scientific Applications:
- Drug Repurposing: Identify and prioritize candidate drugs and clinical drug candidates for repurposing against SARS-CoV-2.
- Hypothesis Generation: Generate and evaluate mechanistic hypotheses linking drugs, targets, pathways, and disease mechanisms relevant to COVID-19.
- Therapeutic Prioritization: Prioritize potential therapeutic interventions and mechanisms for COVID-19 based on integrated knowledge from ROBOKOP and CORD-19.
Methodology:
Linking the ROBOKOP knowledge graph with curated and annotated CORD-19 datasets to enable knowledge-driven biomedical reasoning.
Topics
Collections
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 2/17/2021
Operations
Publications
Korn D, Bobrowski T, Li M, Kebede Y, Wang P, Owen P, Vaidya G, Muratov E, Chirkova R, Bizon C, Tropsha A. COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database. Unknown Journal. 2020. doi:10.26434/chemrxiv.12462623.v1.