Building up on the breakthroughs of molecular biology, scientists are increasingly considering the complex interactions between the many identified molecules rather than the individual molecules alone. These interactions are inherently non-linear, often include spatial aspects such as dynamically induced relocations and occur on widely varying spatial and temporal scales.
The investigation of such systems is inherently difficult. In the last decade, the realisation of these challenges has lead to the increased adoption of mathematical modelling techniques originally developed in physics and engineering into biological research. As a rather novel development, these methods have not yet found wide consideration in undergraduate teachings.
The general aim of the Centre for Biological Modelling is to assist researchers at EMBL in the adoption of modelling into their research workflows. To this end, it provides weekly consultation appointments, performs collaborative modelling tasks, trains EMBL members in relevant programming languages and software tools and will foster collaboration and interactions between EMBL researchers using seminars, journal clubs as well as interdisciplinary retreats. The expertise of the centre resides in first principles modelling using Ordinary, Partial and Stochastic Differential Equations, Constraint-Based Modelling such as Flux Balance Analysis as well as Boolean and Fuzzy Logic Modelling approaches.