Department of Bioengineering
Imperial College London
Modelling allows us to extract common design principles in diverse biological systems across different temporal and spatial scales. Our group develops mathematical models for various biological systems ranging from cellular to behavioural levels and reveals key mechanisms for efficient, flexible and robust biological control across different levels.
We aim to establish a theoretical basis for biological control, to reinterpret the various phenomena in biological systems from the viewpoint of control, and to reveal the sophisticated design principles that are responsible for the plasticity of biological systems. Since the ability of biological control systems far exceeds that of many conventionally designed engineering systems, intrinsic understanding of the essential design principles of biological control systems may require new notions and a new theory for biological control.
One of the main application areas of our interest is healthcare. Most diseases are caused by malfunctioning of intrinsic dynamical regulatory mechanisms across cellular, organ, and behavioural levels. We aim to develop methodologies to understand the original regulatory mechanisms in non-disease states, analyse and predict dynamical systems behaviour in disease states, and use them for accurate assessment and effective treatment. Our research also aims to elucidate common features of biological regulatory mechanisms using tools from engineering discipline and apply them for the design of biologically inspired control structures.
E. Domínguez-Hüttinger, P. Christodoulides, K. Miyauchi, A.D. Irvine, M. Okada-Hatakeyama, M. Kubo, and R.J. Tanaka.
Mathematical modeling of atopic dermatitis reveals “double switch” mechanisms underlying four common disease phenotypes.
Journal of Allergy and Clinical Immunology, in press.
Media Coverage:Article in Imperial News
Media Coverage:Latest Research Summaries for American Academy of Allergy Asthma and Immunology
E. Domínguez-Hüttinger, N.J. Boon, T.B. Clarke, and R.J. Tanaka.
Mathematical modelling of colonization, invasive infection and treatment of Streptococcus pneumoniae.
Front. Physiol. 8:115
P. Christodoulides, Y. Hirata, E. Domínguez-Hüttinger, S.G. Danby, M.J. Cork, H.C. Williams, K. Aihara, R.J. Tanaka.
Computational design of treatment strategies for proactive therapy on atopic dermatitis using optimal control theory.
Phil. Trans. R. Soc. A375: 20160285
Alejandro A Granados, Matthew M Crane, Luis F Montano-Gutierrez, Reiko J Tanaka, Margaritis Voliotis, Peter Swain
Distributing tasks via multiple input pathways increase cellular survival in stress
eLife 2017; 10.7554/eLife.21415
We acknolwedge financial support from Royal Society, NC3Rs, British Skin Foundation, and EPSRC.