Computational Systems Biology


As more is discovered about the structure, organisation and behaviour of cells, tissues, organisms and communities of biological systems the need to understand how all of these systems and phenomena work and interact in a holistic fashion becomes more urgent.

The promise of being able to use the power of computers and of recent computational and mathematical modelling techniques to understand and predict important aspects of the behaviour of biological systems is an exciting and vitally important opportunity for medicine and biology.

The Computational Biology Group is at the forefront of this endeavour and is working extremely closely with experimental biologists and clinicians in building realistic and useful models of biological phenomena from the molecular level, to the cellular, tissue, organismal and social levels.

Our work is founded on an integrated approach to several key areas (please follow links on the left).


Signal transduction and immunology
Signal transduction and immunology


Epitheliome
Epitheliome


Agent-based modelling simulations
Agent-based modelling simulations


Social insects
Social insects


Cardiac modelling
Cardiac modelling


Intercellular Signalling
Intercellular Signalling


Population P systems
Population P systems




Western Bank, Sheffield S10 2TN, UK