Protein Bioinformatics and Evolution. 

We study protein evolution, structure, folding, and design using large-scale data analysis, algorithm development, machine learning, and molecular simulation.

Research areas

Our aims are to predict phenotype from genotype, to estimate accurately influence of single mutations on protein stability, and to develop more stable proteins

Prediction of protein stability change upon single mutation by combining machine learning and protein physics
Prediction of protein folding kinetics from protein three-dimensional structure
Theoretical investigation of evolution with focus on multi-dimensional epistasis
Courses
Courses