• Publications
  • Influence
Why highly expressed proteins evolve slowly.
Much recent work has explored molecular and population-genetic constraints on the rate of protein sequence evolution. The best predictor of evolutionary rate is expression level, for reasons thatExpand
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Protein stability promotes evolvability.
The biophysical properties that enable proteins to so readily evolve to perform diverse biochemical tasks are largely unknown. Here, we show that a protein's capacity to evolve is enhanced by theExpand
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Permissive Secondary Mutations Enable the Evolution of Influenza Oseltamivir Resistance
Influenza Escape Tricks Tamiflu, or oseltamivir, has been extensively stockpiled by several governments in anticipation of a dangerous influenza pandemic. So far, its large-scale use has not beenExpand
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Stability-mediated epistasis constrains the evolution of an influenza protein
John Maynard Smith compared protein evolution to the game where one word is converted into another a single letter at a time, with the constraint that all intermediates are words:Expand
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Thermodynamic prediction of protein neutrality.
We present a simple theory that uses thermodynamic parameters to predict the probability that a protein retains the wild-type structure after one or more random amino acid substitutions. Our theoryExpand
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Structural determinants of the rate of protein evolution in yeast.
We investigate how a protein's structure influences the rate at which its sequence evolves. Our basic hypothesis is that proteins with highly designable structures (structures that are encoded byExpand
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Apparent dependence of protein evolutionary rate on number of interactions is linked to biases in protein–protein interactions data sets
BackgroundSeveral studies have suggested that proteins that interact with more partners evolve more slowly. The strength and validity of this association has been called into question. Here weExpand
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Potential antigenic explanation for atypical H1N1 infections among middle-aged adults during the 2013–2014 influenza season
Significance Influenza viruses typically cause a higher disease burden in children and the elderly, who have weaker immune systems. During the 2013–2014 influenza season, H1N1 viruses caused anExpand
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Extreme heterogeneity of influenza virus infection in single cells
Viral infection can dramatically alter a cell’s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examineExpand
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An experimentally determined evolutionary model dramatically improves phylogenetic fit
  • J. Bloom
  • Computer Science, Biology
  • 2 March 2014
We demonstrate an experimental determination of a parameter-free evolutionary model via mutagenesis, functional selection, and deep sequencing for influenza nucleoprotein. Expand
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