We work on network modelling of human diseases at the top level, specifically in cancer. All the projects we contribute consist of steps starting at the data production, computational modeling and hypothesis generations, and finally experimental validation. We have experience both in structural bioinformatics and computational systems biology. These two different but complementing areas are combined and improved to address new questions in the systems biology area in our research group.

Figure 1. A general flow of data integration and network modeling which helps classifying patient sub-groups and identifying treatment strategies.

Obviously, biology is still moving toward generation of big data. No single data type is capable to fully represent the cellular activity. Beyond the list of molecules from each data type, there is a necessity to consider multiple data jointly and reconstruct the relations between these molecules which implies the necessity of personalized network-based approaches. We develop new integrative network modelling approaches to combine multiple high-throughput data with interactomes. Our current and planned research covers several branches of the systems biology of diseases. The main topics can be listed as follows: