The Computational Biology & Biological Physics Group at Lund University pursues a very broad spectrum of research activities. In particular, the group builds models of macromolecules and living systems, and investigates biological processes by applying machine learning and statistical techniques.
Examples of problem areas are:
- Structure and folding properties of macromolecules, in particular proteins, including misfoldings and mechanical unfolding, with some emphasis on misfolds relevant for diseases, e.g. Alzheimer's.
- Multiscale systems biology modeling of pathways and assemblies of cells, ranging from intra- and intercellular molecular interactions to cell-cell interactions.
- Analysis of high-throughput genomics and proteomics data, including mapping results onto high-level functional categories, e.g., pathways and ontologies.
- Topological and dynamical properties of random graphs and complex networks, with some emphasis on transcriptional networks.
- Machine learning with some focus on biomedical information processing, in particular for ECG analysis, image processing, decision support and prognosis.
Partners at Lund University:
- Create Health - Strategic Center for Clinical Cancer Research
- Lund University Research Program in Medical Informatics (LUMI)
- Lund Strategic Research Center for Stem Cell Biology and Cell Therapy
- Swegene Centre for Integrative Biology at Lund University (SCIBLU)
- The Computable Plant
Software and databases
- BASE - Bioarray software environment
- Clocksim - Simulate biological clock
- HPDesign - Designing sequences in the HP model
- MCD - Multiclass discoverer
- MFSolver - Mean field solver for set covering problems
- PROFASI - PROtein Folding and Aggregation SImulator
- Proteios - an open source proteomics initiative
- WeNNI - Weighted Nearest Neighbour Imputation