Knowledge extraction

Our research efforts are devoted to the elucidation of the mechanisms involved in metabolic and immuno-inflammatory disorders, in neurodegeneration, cancer and infectious diseases, and in the analysis of omic and clinical data following therapies or dietary regimens. We complement our research with the development and customization of computational biology algorithms in support of systems pharmacology and nutrition.

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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Taking care of immune-beneficial infant gut bacteria

Hunting for foods to help infants build strong immune systems, a New Zealand National Science Challenge. These studies are traditionally conducted trialing...

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Extracting knowledge from literature to inform Tuberculosis drug and vaccine development

Develop a TB Knowledgebase, that interactively aggregates, organizes, and analyzes publicly available literature and clinical trial documentation to support...

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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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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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