Speaker
Martin Weigt
Description
n the course of evolution, proteins undergo substantial changes in
their amino-acid sequences, while conserving their three-dimensional
fold and their biological functionality. Modern sequencing techniques
provide us with increasingly large families of evolutionary related
proteins. Such data can be used to infer statistical models of
sequence variability. I will discuss the surprising efficiency of
models including pairwise epistasis (Potts models / Markov random
fields), which are able to reproduce non-fitted statistical features
of protein families, and therefore open ways to evolution-guided
approaches to protein design.
Primary author
Martin Weigt
