From data to models
We combine available experimental data on drug, targets, biomarkers, and information across multiple pathways and layers to obtain a system view of physiological and pathological cellular processes and generate mechanistic knowledge that can be employed to develop mathematical models of disease processes.
What we do
Pathway-based mechanistic models
We are applying advanced computational methods which integrate experimental data across multiple technologies on drug, targets and biomarkers with available biological knowledge to produce network and pathway based mechanistic models of biological processes, complemented by enhanced visualization tools to support mathematical model development. We have developed a proprietary algorithm (Network Activity Score Finder – NASFinder) which, starting from omics data from normal and disease condition, can guide to the identification of highly perturbed tissue-specific networks and influential nodes involved in the pathological process of interest.