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Systems Pharmacology

Building computational frameworks to support drug discovery and personalized medicine

We combine molecular, cellular, preclinical, and clinical data from different sources to build a systems view of biological processes in healthy and disease condition, setting the basis for mechanistic models and mathematical descriptions of both complex and rare disorders. By integrating preclinical with clinical data, our models enable to identify new targets and biomarkers, simulate disease progression, identify patient subgroups and predict drug efficacy, guiding the advance of small molecules and biological agents through the various phases of their development.

Our focus

Case Studies


Investigating the inflammatory signaling characterizing lysosomal storage disorders (LSDs)

Develop a text-mining and systems biology framework to investigate the inflammatory signaling characterizing lysosomal storage disorders (LSDs). First...

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Logical modeling of COVID-19 intracellular infection: supporting therapies development

Develop a logical mathematical model of the intracellular pathways involved in the COVID-19 infection. The model can be used to study several drugs and...

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Investigating Duchenne muscular dystrophy biology through plasma proteome

Identify disease biomarkers and deregulated pathways in Duchenne muscular dystrophy from omic data We developed a two-step computational workflow to extract...

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A new computational method for drug repurposing

Develop a systems pharmacology workflow that integrates different data types such as genomics, transcriptomics, and literature to identify in silico drug...

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A QSP approach based on a graphical model to improve mRNA vaccine platforms

Analyzing and integrating multi-source knowledge and data, with the goal of clarifying the intricate biological processes involved in the mechanism of...

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Modeling Neurofilament trafficking in neurodegenerative disorders

Develop a Quantitative System Pharmacology (QSP) model to evaluate the potential of neurofilaments as early biomarkers of disease onset and treatment...

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