Paper on network dynamics and protein evolution published

By | July 5, 2016

Congratulations to Brian Mannakee on his paper that just came out in PLoS Genetics. In it, we use dynamical systems biology models to predict rates of protein domain evolution. The success of these predictions suggests that natural selection is acting to preserve network dynamics in the face of perturbations from mutations. Although the models are imperfect, we think this work shows the power of systems biology models for quantitatively predicting evolutionary processes.

journal.pgen.1006132.g001

Paper on triallelic population genomics published

By | March 30, 2016

Triallelic figureCongratulations to Aaron Ragsdale on his paper that was just accepted for publication in Genetics. In it, we develop a novel diffusion model for trialleic sites, which required some non-trivial applied mathematics. We then apply the model to mutually nonsynonymous codons in Drosophila, to infer the correlation between selection coefficients for mutations at the same protein site. Remarkably, our inferred correlation agrees quantitatively with direct biochemical experiments in bacteria and yeast, suggesting that the correlation we measure is a fundamental property of protein evolution.