Background and Mission of the Institute
The IMMB will spearhead the College's research and teaching activities at the interface between biology, medicine, mathematics and computation.
It aims to be a leading international research centre devoted to the development of quantitative tools for biomedical problems, and an efficient source of
mathematical and computational expertise for biomedical researchers. It is located at the College's London Bridge campus.
The Institute is a joint initiative of the School of Natural and Mathematical Sciences (NMS) and the School of Biomedical Sciences (BS), and has close links with the
Department of Mathematics (in NMS), the Randall Division of Cell and Molecular Biophysics (in BS), and the Department of Imaging Sciences and Medical Enineering (School of Medicine).
At King's it will contribute to training a new generation of biomedical researchers with a strong theoretical background,
and organise workshops, conferences, and short courses, as well as
run the Systems Biomedine Graduate Programme .
It will also make documented software implementations
of its research deliverables available to the wider academic community.
Research themes
| Complex biological networks |
Analysis of signalling processes in molecular networks (e.g. gene regulation, protein interaction, and metabolic networks), and
inter-cellular networks (e.g. neural networks and immune networks). Information-theoretic and statistical analysis of network topologies. |
| Computational structural biology |
Analysis and prediction of protein, DNA and RNA structures, and of their interaction dynamics.
Prediction of binding sites from structure, molecular dynamics of maromolecules and their environment. Computational analysis of molecular interaction networks.
|
| Stochastic methods in medicine |
Medical statistics, data analysis and regression, survival and competing risk, population dynamics and epidemiology, stochastic processes (gene defect accumulation).
Bayesian analysis and machine learning for predictive medical use of genetic data. |
The Institute will open formally in January 2012.
For queries please contact Prof ACC Coolen (ton.coolen@kcl.ac.uk) or Dr F Fraternali
(franca.fraternali@kcl.ac.uk).