Evidence map›Paper›PMID 38587198›Full record

ArticleNucleic acids research2024

Frustraevo: a web server to localize and quantify the conservation of local energetic frustration in protein families.

R Gonzalo Parra, Maria I Freiberger, Miriam Poley-Gil, Miguel Fernandez-Martin, Leandro G Radusky, Victoria Ruiz-Serra, Peter G Wolynes, Diego U Ferreiro, Alfonso Valencia

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Frustration in physiology and molecular medicine.Molecular aspects of medicine · 2025
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

R Gonzalo ParraComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.ORCID 0000-0003-2446-016X
Maria I FreibergerLaboratorio de Fisiología de Proteínas, Departamento de Química Biológica - IQUIBICEN/CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
Miriam Poley-GilComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.
Miguel Fernandez-MartinComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.
Leandro G RaduskyManas.tech, 300 Lenora Street 1541, Seattle, WA 98121, USA.
Victoria Ruiz-SerraComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.
Peter G WolynesCenter for Theoretical Biological Physics and Department of Chemistry, Rice University, Houston, TX 77005, USA.
Diego U FerreiroLaboratorio de Fisiología de Proteínas, Departamento de Química Biológica - IQUIBICEN/CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires C1428EGA, Argentina.
Alfonso ValenciaComputational Biology Group, Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain.

Funding

Barcelona Supercomputing CenterCenter for Theoretical Biological Physics PHY-2019745CONICET PIP2022-2024 - 11220210100704COConsejo de Investigaciones Cientificas y TecnicasEuropean Union NextGenerationEU/PRTRInstituto de Salud Carlos III IHMC22/00007Rice University C-0016Universidad de Buenos Aires 20020220200106BA
6 · The paper itself

Abstract

According to the Principle of Minimal Frustration, folded proteins can only have a minimal number of strong energetic conflicts in their native states. However, not all interactions are energetically optimized for folding but some remain in energetic conflict, i.e. they are highly frustrated. This remaining local energetic frustration has been shown to be statistically correlated with distinct functional aspects such as protein-protein interaction sites, allosterism and catalysis. Fuelled by the recent breakthroughs in efficient protein structure prediction that have made available good quality models for most proteins, we have developed a strategy to calculate local energetic frustration within large protein families and quantify its conservation over evolutionary time. Based on this evolutionary information we can identify how stability and functional constraints have appeared at the common ancestor of the family and have been maintained over the course of evolution. Here, we present FrustraEvo, a web server tool to calculate and quantify the conservation of local energetic frustration in protein families.

Indexed as

InternetProtein FoldingProteinsSoftwareEvolution, MolecularModels, MolecularProtein ConformationThermodynamicsProteins

Identifiers

PMID38587198
PMCPMC11223790

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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.