EEB events: Center for Computational Medicine and Bioinformatics Seminar by Professor George Zhang
Why highly expressed proteins evolve slowly
Professor Jianzhi (George) Zhang
Department of Ecology and Evolutionary Biology
University of Michigan
Abstract
The tempo and mode of protein evolution have been central questions in biology. Genomic data have shown a strong influence of the expression level of a protein on its rate of sequence evolution, or the E-R anticorrelation, but the underlying cause is unclear. In this talk, I discuss two hypotheses, protein misfolding avoidance and protein misinteraction avoidance, that potentially explain the E-R anticorrelation. The findings suggest a pivotal role of the biophysics of protein stability and interaction in constraining and channeling protein evolution.
Location: Forum Hall Auditorium, 4th floor, Palmer Commons
Website: http://www.ccmb.med.umich.edu/
Contact: jtroy@umich.edu