This is a short overview of the research areas we work in. Please use the menu above to navigate to individual pages or follow the links below.

The fundamental motivation for our research is understanding how life works, in particular in the context of human disease. Because we are an interdisciplinary group, our efforts branch out into several different directions. Historically, the structure and function of proteins was our primary focus area, and many of the biological questions we look for answers to are still in this area (READ MORE). Cancer, neurodegenerative disease, and epigenetics are all topics of interest to us that are also of relevance to human health. A longstanding interest of ours is the discovery of new small molecules to counteract deleterious effects of these diseases (READ MORE). We use computers to try to answer most of these questions. When faced with a tricky problem, the strategies and methods to employ may need to be modified, extended, or even newly developed, not only in relation to the problem but also in relation to feasibility on currently available computing architectures (READ MORE). Computational predictions are based on models, and thus carry intrinsic errors that are systematic in nature. To validate these predictions, we carry out a number of experiments in-house (READ MORE). Finally, most of the research carried out today, including our own, has the potential to create and store large amounts of data. We have accumulated and mastered a sizeable set of advanced data mining tools and are always interested in collaborating with researchers who are trying to tame a complex data set they have generated (READ MORE).