Thermodynamic Prediction of Protein Neutrality
arXiv:q-bio/0409013 · doi:10.1073/pnas.0406744102
Abstract
We present a simple theory that uses thermodynamic parameters to predict the probability that a protein retains the wildtype structure after one or more random amino acid substitutions. Our theory predicts that for large numbers of substitutions the probability that a protein retains its structure will decline exponentially with the number of substitutions, with the severity of this decline determined by properties of the structure. Our theory also predicts that a protein can gain extra robustness to the first few substitutions by increasing its thermodynamic stability. We validate our theory with simulations on lattice protein models and by showing that it quantitatively predicts previously published experimental measurements on subtilisin and our own measurements on variants of TEM1 beta-lactamase. Our work unifies observations about the clustering of functional proteins in sequence space, and provides a basis for interpreting the response of proteins to substitutions in protein engineering applications.
References in corpus (3)
Cited by in corpus (18)
- Why highly expressed proteins evolve slowly
- Coevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1
- Neutral genetic drift can aid functional protein evolution
- Thermodynamics of Neutral Protein Evolution
- Why high-error-rate random mutagenesis libraries are enriched in functional and improved proteins
- Evolution favors protein mutational robustness in sufficiently large populations
- Biophysical inference of epistasis and the effects of mutations on protein stability and function
- Physical epistatic landscape of antibody binding affinity
- A first-principles model of early evolution: Emergence of gene families, species and preferred protein folds
- Biophysical Fitness Landscapes for Transcription Factor Binding Sites
- Strong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a Protein
- Statistical Physics of Evolutionary Trajectories on Fitness Landscapes
- Progress and open problems in evolutionary dynamics
- A biophysical protein folding model accounts for most mutational fitness effects in viruses
- Inferring interactions from combinatorial protein libraries
- Population genetics of translational robustness
- Emergence of the protein universe in organismal evolution
- Quasispecies can exist under neutral drift at finite population sizes