Contributions by role
Contributions by subject area
Peter Røgen
Summary
My research is based on a mixture of differential geometry and low dimensional topology referred to as geometric knot theory. Starting from basic mathematical research and general industrial applications, my main focus turned to adaption of the concept of knot invariants to geometric invariants for the open string structures of proteins and RNA. Geometric invariants provides fast methods for structural description, comparison, clustering, and automatic classification of protein structures and are among the very few methods that mathematically can detect the type of “topological” changes biologists use to define protein fold classes. My metric interest in proteins carries on in what I call metric training of knowledge-based potentials for protein structure prediction. It may be seen as reverse engineering the best possible potential energy function where best is specified by a metric.
Computational Biology Mathematical Biology Molecular Biology