WP2 Molecular pathway modeling

Description

In a successful recent approach we combined time resolved high-throughput measurements with their quantitative dynamic interpretation interms of mathematical models. Furthermore, we showed that pathways and modules thereof derived from the mapping of ‘omics data to molecular interaction networks can be used efficiently for computational predictions, for example in discriminating different toxicity classes in the context of chemical carcinogenesis in the liver. Besides dedicated resources that collect and annotate interactions from specific experiments and of specifictype (e.g. protein-protein, protein-DNA, signalling, metabolic), meta-databases have been constructed that integrate diverse types of interactions for multiple species. For this, partner MPIMG has developed the ConsensusPathDB which provides functionality for network analysis and functional annotation and holds the content of 30 different interaction resources with 154,540 physical entities, 360,308 interactions and 4,754 predefined pathways.