Systems Pharmacology

We target specialized journals dedicated to the development of computational tools, and broader audience journals where state-of-the art technologies are applied to the investigation and elucidation of biological processes in key and emerging research areas.

The value of our research

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Scientific Publications

Reconstruction of the Cytokine Signaling in Lysosomal Storage Diseases by Literature Mining and Network Analysis

Abstract. Lysosomal storage diseases (LSDs) are characterized by the abnormal accumulation of substrates in tissues due to the deficiency of lysosomal...

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...

Cosbi - Category

MOUSSE: Multi-Omics Using Subject-Specific SignaturEs

Abstract. High-throughput technologies make it possible to produce a large amount of data representing different biological layers, examples of which...

scientific paper | International Journal of Molecular Sciences

Selvaggio Gianluca, Chaouiya Claudine, Janody Florence

In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer

Abstract. The multistep development of cancer involves the cooperation between multiple molecular lesions, as well as complex interactions between cancer...

History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications

Abstract. Mathematical biology and pharmacology models have a long and rich history in the fields of medicine and physiology, impacting our understanding...

Developing a QSP model for prostate cancer immunotherapy

Develop a Quantitative System Pharmacology (QSP) model to evaluate the effect of different immunotherapies in prostate cancer and provide a computational...

Cosbi - Category

Our books

Analysis Of Biological Systems

Analysis of Biological Systems collects classical material on analysis, modeling and simulation, thereby acting as a unique point of reference. The joint application of statistical techniques to extract knowledge from big data and map it into mechanistic models is a current challenge of the field, and the reader will learn how to build and use models even if they have no computing or math background. An in-depth analysis of the currently available technologies, and a comparison between them, is also included. Unlike other reference books, this in-depth analysis is extended even to the field of language-based modeling. The overall result is an indispensable, self-contained and systematic approach to a rapidly expanding field of science.

Simulation Algorithms for Computational Systems Biology

This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each technique is theoretically introduced and applied to a set of modeling cases. Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies. This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics. An appendix covers the mathematical background, and the authors include further reading sections in each chapter.

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Scientific publications