OntoQSAR: an Ontology for Interpreting Chemical and Biological Data in Quantitative Structure-Activity Relationship Studies.
Rafaela M. AngeloAndreia K. IoMatheus P. AlmeidaRafael G. SilveiraPatricia R. OliveiraJose J. P. AlcazarKáthia M. HonórioFernanda BettaninPublished in: ICSC (2020)
Keyphrases
- quantitative structure activity
- biological data
- drug discovery
- systems biology
- high throughput
- drug design
- protein protein interactions
- molecular biology
- data analysis
- biological networks
- statistical methods
- microarray data
- life sciences
- knowledge discovery
- data integration
- gene regulatory networks
- data mining
- data sources
- microarray
- early stage
- biological systems
- real time
- computational biology
- discovery process
- gene expression
- metadata
- databases