EMBIO
Biomolecular systems exhibit spontaneous self-organisation that is critical to their function. Examples are protein folding and the self-assembly of membranes. The project aims to develop mathematical and computational approaches primarily to identify the poorly understood principles of this phenomenon. This will provide a basis for modelling of this fundamental property of complex biomolecular systems and will therefore be of great importance to biology, medicine, and biotechnology.
The project is funded by the European Commission in the Sixth Framework programme within “New and emerging science and technology NEST - PATHFINDER” research area. The consortium consists of eight Universities from six countries and is coordinated by Cambridge University.
http://www-embio.ch.cam.ac.uk/
Martin Mann Cameron Smith, Mohamad Rabbath, Marlien Edwards, Sebastian Will, and Rolf Backofen. CPSP-web-tool : a server for 3D lattice protein studies. In Bioinformatics, 2009.
Martin Mann, Daniel Maticzka, Rhodri Saunders, and Rolf Backofen. Classifying protein-like sequences in arbitrary lattice protein models using LatPack. In HFSP Journal, Special issue on protein folding, 2008. Supplementary data can be obtained HERE.
Martin Mann, Sebastian Will, and Rolf Backofen. CPSP-tools - Exact and Complete Algorithms for High-throughput 3D Lattice Protein Studies. In BMC Bioinformatics, 9, 230, 2008.
Sebastian Will and Martin Mann. Counting protein structures by dfs with dynamic decomposition. In Proc. of the Workshop on Constraint Based Methods for Bioinformatics, page 6, 2006.
Michael T. Wolfinger, Sebastian Will, Ivo L. Hofacker, Rolf Backofen, and Peter F. Stadler. Exploring the lower part of discrete polymer model energy landscapes. Europhysics Letters, 2006.