The SFB group aims to develop automatic tools to accelerate the NMR protein structure determination process, which involves peak picking, resonance assignment, NOE assignment, and structure calculation.
The SFB group aims to model, analyze, and control complex biological systems, such as protein-protein interaction networks, and biochemical systems, such as biochemical reaction networks and gene delivery systems.
The SFB group aims to study comparative genomics from the protein domain level. We are interested in developing efficient algorithms for genome-scale domain identification, domain function annotation, and detecting tentative novel domains and shuffling domains.
The SFB group aims to model the high-dimensional protein angle space, model protein loops and side-chains, and design statistical measurement for model assessment.
The SFB group aims to develop and apply machine learning methods to model biological systems.