Reaction Abstraction
Cross-source consensus on Reaction Abstraction from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Comparisons
Highlighted claims
- All reactions in the datasets were annotated with Systems Biology Ontology and Gene Ontology terms with reported complete coverage. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- MTOR-HMN reactions could receive multiple SBO/GO terms, whereas NLP-derived reactions corresponded to exactly one term. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Multiple reaction-type signatures appeared only in MTOR-HMN, reflecting curators' ability to combine biological event types. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- SBO hierarchy matching improved overlap because curated and extracted reactions may be represented at different specificity levels. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway