Evidence map›Paper›PMID 26800099›Full record

ArticleProteins2016

The role of negative selection in protein evolution revealed through the energetics of the native state ensemble.

Jordan Hoffmann, James O Wrabl, Vincent J Hilser

Erratum issuedAbstract read
In one paragraph

Article in Proteins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Hidden dynamic signatures drive substrate selectivity in the disordered phosphoproteome.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jordan HoffmannDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, 21218.
James O WrablDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, 21218.
Vincent J HilserDepartment of Biology, Johns Hopkins University, Baltimore, Maryland, 21218.

Funding

Thermodynamics of Protein FluctuationsR01GM063747 · NIGMS · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI HILSER, VINCENT J. · 2001 to 2023
$7.9M
NIGMS NIH HHS R01 GM063747
6 · The paper itself

Abstract

Knowing the determinants of conformational specificity is essential for understanding protein structure, stability, and fold evolution. To address this issue, a novel statistical measure of energetic compatibility between sequence and structure was developed using an experimentally validated model of the energetics of the native state ensemble. This approach successfully matched sequences from a diverse subset of the human proteome to their respective folds. Unexpectedly, significant energetic compatibility between ostensibly unrelated sequences and structures was also observed. Interrogation of these matches revealed a general framework for understanding the origins of conformational specificity within a proteome: specificity is a complex function of both the ability of a sequence to adopt folds other than the native, and ability of a fold to accommodate sequences other than the native. The regional variation in energetic compatibility indicates that the compatibility is dominated by incompatibility of sequence for alternative fold segments, suggesting that evolution of protein sequences has involved substantial negative selection, with certain segments serving as "gatekeepers" that presumably prevent alternative structures. Beyond these global trends, a size dependence exists in the degree to which the energetic compatibility is determined from negative selection, with smaller proteins displaying more negative selection. This partially explains how short sequences can adopt unique folds, despite the higher probability in shorter proteins for small numbers of mutations to increase compatibility with other folds. In providing evolutionary ground rules for the thermodynamic relationship between sequence and fold, this framework imparts valuable insight for rational design of unique folds or fold switches.

Indexed as

Evolution, MolecularGenome, HumanSelection, GeneticAmino Acid SequenceDatabases, ProteinHumansMutationProtein ConformationProtein DomainsProtein FoldingProtein Structure, SecondaryProteomeThermodynamicsProteomefold recognitiongapless threadingmetamorphic proteinsrational designthermodynamic environments

Identifiers

PMID26800099
PMCPMC4811355

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Registered trials

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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.