Our group focuses on the development of mathematical and computational models of biological systems. The rapid development of 'omics' technologies has led to ever increasing amounts of biological data being collected at the scale of entire cells. A key challenge for biology is now to integrate and exploit this wealth of information to advance toward a global understanding of biological functions. The field of systems biology seeks to explain biological phenotypes by the construction of models embedding detailed knowledge of the quantities, dynamics and interactions between intracellular compounds.

We use a variety of methods ranging from network analysis, constraint-based and logical modelling, to kinetic and dynamic simulation. We actively engage in interdisciplinary collaborations with biologists, enabling us to carry out experiments to inform the construction of models and address major biological challenges.

We are part of the Faculty of Biology, Medicine and Health at the University of Manchester.

See an overview of our projects, members and publications.


12 January 2017: Petronela Buiga has been awarded The Romanian Ambassador's Diploma for Research in recognition of her PhD work on systems biology of MAPK regulation applied to breast cancer.

15 December 2016: Our PhenomeScape paper is published in Bioinformatics.

3 May 2016: Joe's article which features a logical model of signalling pathways driving cancer cell migration is published in PLoS Computational Biology.

27 November 2015: Our paper on metabolic flux prediction in cancer cells is published in Biochemical Society Transactions.

11 September 2015: Two papers presented at GIW/InCoB 2015 in Tokyo on pleiotropy of yeast functions and on text mining for thyroid cancer.

1 April 2015: James Oyeyemi's article on modelling HIV-1–host interactions is published in Bioinformatics.

External events

Metabolic Pathways Analysis 2017, Bozeman, USA, 24-28 July 2017.