The main research areas of the lab are protein bioinformatics, physics, and evolution.
One research direction of the lab is to improve prediction of protein stability change upon single mutation by combining machine learning and protein physics. Related topics are computational construction of more stable proteins and prediction of protein folding kinetics from protein three-dimensional structure. Another research direction is theoretical investigation of evolution with focus on multi-dimensional epistasis. More specifically, the lab develops computational methods and algorithms to find epistasis in experimental data and to estimate abundance of uni- and multi-dimensional epistasis in protein evolution.
Supervisor – Dmitry Ivankov