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

publications-infographic

Scientific Publications

Toward a Quantitative Systems Pharmacology framework of cell-level alpha-synuclein dynamics

Introduction Parkinson’s disease (PD) – the second most prevalent neurodegenerative disorder worldwide [1] – is characterized by the progressive...

scientific paper | npj Systems Biology and Applications

Stefano Giampiccolo, Iacca Giovanni, Marchetti Luca

A novel approach to quantify out-of-distribution uncertainty in Neural and Universal Differential Equations

Dynamical systems play a central role across the quantitative sciences, offering a powerful mathematical framework to describe, analyze, and predict...

No One-Size-Fits-All: A Multi-Model Evaluation of Optimization-Based and Surrogate-Assisted Virtual Population Generation in QSP

scientific paper | The AAPS Journal

Tomasoni Danilo, Paris Alessio, Roberto Visintainer

Predicting Aberrant Fc-fusion Protein Pharmacokinetics from In Silico Structural Properties and Physiologically Based Pharmacokinetic (PBPK) Modeling

Physiologically Based Pharmacokinetic Modeling of mRNA-Encoded Therapeutics: A Multiscale Framework for LNP and Antibody Trafficking in Mice.

Antibody-based therapeutics have revolutionized disease treatment, and recent advances in messenger RNA (mRNA) technologies have opened new opportunities...

A multiscale physiologically based pharmacokinetic model to support mRNA-encoded BiTE therapy in cancer treatment

In the field of cancer therapy, bispecific T cell engagers (BiTEs) have demonstrated significant potential. However, their clinical application is constrained...

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.

Check out COSBI publications on PubMed

Scientific publications