Automating Drug Discovery
CC-BY 4.0
Computational models have become essential tools for understanding signalling networks and their non-linear dynamics. However, these models are typically constructed manually using prior knowledge and can be over-reliant on study bias. Scaling up the construction and analysisof models to take advantage of increasingly abundant ‘omics data can bridge these gaps by providing a comprehensive view of signalling events and how they influence cellular phenotypes.
Image credit: Adapted from Clarke, Barker & Sun et al. (2025). CC-BY 4.0
Matthew A. Clarke
Research Scientist, Associate Staff Visitor
Research Scientist at the AI Security Institute and Associate Staff Visitor at UCL.
