Petr Sulc's research focuses on application of computational modeling / statistical physics approaches to complex systems. In particular, his group uses computational models to study problems in biology, and bio-inspired nanotechnology systems. He is mainly interested in nucleic acids modeling (DNA and RNA) using coarse-grained models, which allow for simulations of longer time-scales and larger systems than if fully-atomistic representation is used. Such an approach is allows for efficient studies of nanotechnology system, as well as biologically relevant interactions between nucleic acids.
His research group is furthermore interested in applying computer simulations and statistical physics analysis to study properties of RNA molecules in vivo, in relation to RNAs expressed in tumor cells and viral genomes. The research is done in active collaboration with experimental groups.
His prior research also involved mathematical modeling and optimization of smart-grid systems.