ArticleBMC evolutionary biology2014
A mechanistic stress model of protein evolution accounts for site-specific evolutionary rates and their relationship with packing density and flexibility.
Article in BMC evolutionary biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Site-Specific Structure and Stability Constrained Substitution Models Improve Phylogenetic Inference.Systematic biology · 2026Article
- Secretory quality control constrains functional selection-associated protein structure innovation.Communications biology · 2022Article
- Hotspots for mutations in the SARS-CoV-2 spike glycoprotein: a correspondence analysis.Scientific reports · 2021Article
- Evolutionary coupling range varies widely among enzymes depending on selection pressure.Biophysical journal · 2021Article
- The variation among sites of protein structure divergence is shaped by mutation and scaled by selection.Current research in structural biology · 2020Article
- Shared Signature Dynamics Tempered by Local Fluctuations Enables Fold Adaptability and Specificity.Molecular biology and evolution · 2019Article
- Characterization of Differential Dynamics, Specificity, and Allostery of Lipoxygenase Family Members.Journal of chemical information and modeling · 2019Article
- Gene Families, Epistasis and the Amino Acid Preferences of Protein Homologs.Evolutionary bioinformatics online · 2019Article
- Beyond Thermodynamic Constraints: Evolutionary Sampling Generates Realistic Protein Sequence Variation.Genetics · 2018Article
- Article
- Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.Annual review of biophysics · 2017Review
- Measuring evolutionary rates of proteins in a structural context.F1000Research · 2017Article
- Computational prediction of the tolerance to amino-acid deletion in green-fluorescent protein.PloS one · 2017Article
- Calculating site-specific evolutionary rates at the amino-acid or codon level yields similar rate estimates.PeerJ · 2017Article
- Improved insights into protein thermal stability: from the molecular to the structurome scale.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Article
- Optimization of Conformational Dynamics in an Epistatic Evolutionary Trajectory.Molecular biology and evolution · 2016Article
- Intermediate divergence levels maximize the strength of structure-sequence correlations in enzymes and viral proteins.Protein science : a publication of the Protein Society · 2016Article
- Dissecting the roles of local packing density and longer-range effects in protein sequence evolution.Proteins · 2016Article
- Functional Sites Induce Long-Range Evolutionary Constraints in Enzymes.PLoS biology · 2016Article
- Causes of evolutionary rate variation among protein sites.Nature reviews. Genetics · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundProtein sites evolve at different rates due to functional and biophysical constraints. It is usually considered that the main structural determinant of a site's rate of evolution is its Relative Solvent Accessibility (RSA). However, a recent comparative study has shown that the main structural determinant is the site's Local Packing Density (LPD). LPD is related with dynamical flexibility, which has also been shown to correlate with sequence variability. Our purpose is to investigate the mechanism that connects a site's LPD with its rate of evolution.
resultsWe consider two models: an empirical Flexibility Model and a mechanistic Stress Model. The Flexibility Model postulates a linear increase of site-specific rate of evolution with dynamical flexibility. The Stress Model, introduced here, models mutations as random perturbations of the protein's potential energy landscape, for which we use simple Elastic Network Models (ENMs). To account for natural selection we assume a single active conformation and use basic statistical physics to derive a linear relationship between site-specific evolutionary rates and the local stress of the mutant's active conformation.We compare both models on a large and diverse dataset of enzymes. In a protein-by-protein study we found that the Stress Model outperforms the Flexibility Model for most proteins. Pooling all proteins together we show that the Stress Model is strongly supported by the total weight of evidence. Moreover, it accounts for the observed nonlinear dependence of sequence variability on flexibility. Finally, when mutational stress is controlled for, there is very little remaining correlation between sequence variability and dynamical flexibility.
conclusionsWe developed a mechanistic Stress Model of evolution according to which the rate of evolution of a site is predicted to depend linearly on the local mutational stress of the active conformation. Such local stress is proportional to LPD, so that this model explains the relationship between LPD and evolutionary rate. Moreover, the model also accounts for the nonlinear dependence between evolutionary rate and dynamical flexibility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.