Evidence map›Paper›PMID 27131359›Full record

ArticleNucleic acids research2016

Protein Frustratometer 2: a tool to localize energetic frustration in protein molecules, now with electrostatics.

R Gonzalo Parra, Nicholas P Schafer, Leandro G Radusky, Min-Yeh Tsai, A Brenda Guzovsky, Peter G Wolynes, Diego U Ferreiro

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

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  16. Cancer-associated TRF1 mutations alter PARP1 interaction dynamics: an in silico study.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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74 more citing papers are in PubMed but not listed here.

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

7 authors.

R Gonzalo ParraProtein Physiology Lab, Dep de Química Biológica, Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, Argentina.
Nicholas P SchaferInterdisciplinary Nanoscience Center, Department of Molecular Biology and Genetics, Aarhus University, DK-8000 Aarhus, Denmark.ORCID 0000-0001-9789-2516
Leandro G RaduskyStructural Bioinformatics Group, Dep de Química Biológica, Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, Argentina.
Min-Yeh TsaiCenter for Theoretical Biological Physics and Department of Chemistry, Rice University, Houston, TX 77005, USA.
A Brenda GuzovskyProtein Physiology Lab, Dep de Química Biológica, Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, Argentina.
Peter G WolynesCenter for Theoretical Biological Physics and Department of Chemistry, Rice University, Houston, TX 77005, USA.
Diego U FerreiroProtein Physiology Lab, Dep de Química Biológica, Facultad de Ciencias Exactas y Naturales, UBA-CONICET-IQUIBICEN, Buenos Aires, Argentina ferreiro@qb.fcen.uba.ar.

Funding

STRUCTURE AND STABILITY OF IKB/NF-KB COMPLEXESP01GM071862 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 2006 to 2016
$14.9M
NIGMS NIH HHS P01 GM071862
6 · The paper itself

Abstract

The protein frustratometer is an energy landscape theory-inspired algorithm that aims at localizing and quantifying the energetic frustration present in protein molecules. Frustration is a useful concept for analyzing proteins' biological behavior. It compares the energy distributions of the native state with respect to structural decoys. The network of minimally frustrated interactions encompasses the folding core of the molecule. Sites of high local frustration often correlate with functional regions such as binding sites and regions involved in allosteric transitions. We present here an upgraded version of a webserver that measures local frustration. The new implementation that allows the inclusion of electrostatic energy terms, important to the interactions with nucleic acids, is significantly faster than the previous version enabling the analysis of large macromolecular complexes within a user-friendly interface. The webserver is freely available at URL: http://frustratometer.qb.fcen.uba.ar.

Indexed as

AlgorithmsUser-Computer InterfaceAmino Acid SequenceComputer GraphicsHumansInternetMolecular Dynamics SimulationNuclear ProteinsNucleic AcidsNucleosomesProtein FoldingProtein Interaction Domains and MotifsProtein Structure, SecondarySequence Analysis, ProteinStatic ElectricityThermodynamicsNuclear ProteinsNucleic AcidsNucleosomes

Identifiers

PMID27131359
PMCPMC4987889

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.