Computational methods and applications for quantitative systems pharmacology

Computational Systems Biology in Cancer: Modeling Methods and Applications

In recent years it has become clear that carcinogenesis is a complex process, both at the molecular and cellular levels. Understanding the origins, growth and spread of cancer, therefore requires an integrated or system-wide approach. Computational systems biology is an emerging sub-discipline in systems biology that utilizes the wealth of data from genomic, proteomic and metabolomic studies to...

Computational Photography: Methods and Applications

NIH Support for the Emergence of Quantitative and Systems Pharmacology

In recent years, the National Institute of General Medical Sciences (NIGMS) of the National Institutes of Health (NIH) has sought to explore the integration between systems biology and pharmacology, believing that systems approaches are needed to understand the complexity of drug action and that studies of drug action will yield new insights into systems biology. To this end, NIGMS sponsored th...

Methodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation

With the increased interest in the application of quantitative systems pharmacology (QSP) models within medicine research and development, there is an increasing need to formalize model development and verification aspects. In February 2016, a workshop was held at Roche Pharma Research and Early Development to focus discussions on two critical methodological aspects of QSP model development: op...

Computational Methods for Hybrid Systems

This paper reports the development of a Matlab toolbox for computational analysis of piecewise linear systems. The analysis is based on piecewise quadratic Lyapunov functions, which are computed via convex optimization. In this way, exponential stability and system performance can be assessed. The toolbox also supports efficient simulation of systems with discontinuous dynamics and sliding mode...