Evidence map›Paper›PMID 25564857›Full record

ArticleBiophysical journal2015

Quantitative mapping of protein structure by hydroxyl radical footprinting-mediated structural mass spectrometry: a protection factor analysis.

Wei Huang, Krishnakumar M Ravikumar, Mark R Chance, Sichun Yang

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2015. 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 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

57 citing papers in PubMed, 99 citations in OpenAlex.

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  12. Incorporation of DThe journal of physical chemistry. B · 2022
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  14. The Solvation of theInternational journal of molecular sciences · 2022
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  18. Protein Structure Prediction with Mass Spectrometry Data.Annual review of physical chemistry · 2022
    Review
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Wei HuangCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, Ohio.
Krishnakumar M RavikumarCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, Ohio.
Mark R ChanceCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, Ohio.
Sichun YangCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, Ohio; Department of Pharmacology, Case Western Reserve University, Cleveland, Ohio. Electronic address: sichun.yang@case.edu.
Case Western Reserve University · US

Funding

Case Center for Synchrotron BiosciencesP30EB009998 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI CHANCE, MARK R · 2009 to 2018
$8.4M
Radiolytic Footprinting Methods for Structural Mass SpectrometryR01EB009688 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI CHANCE, MARK R · 2010 to 2013
$1.1M
NIBIB NIH HHS P30 EB009998NIBIB NIH HHS P30-EB-09998NIBIB NIH HHS R01 EB009688NIBIB NIH HHS R01-EB-09688
6 · The paper itself

Abstract

Measurements from hydroxyl radical footprinting (HRF) provide rich information about the solvent accessibility of amino acid side chains of a protein. Traditional HRF data analyses focus on comparing the difference in the modification/footprinting rate of a specific site to infer structural changes across two protein states, e.g., between a free and ligand-bound state. However, the rate information itself is not fully used for the purpose of comparing different protein sites within a protein on an absolute scale. To provide such a cross-site comparison, we present a new, to our knowledge, data analysis algorithm to convert the measured footprinting rate constant to a protection factor (PF) by taking into account the known intrinsic reactivity of amino acid side chain. To examine the extent to which PFs can be used for structural interpretation, this PF analysis is applied to three model systems where radiolytic footprinting data are reported in the literature. By visualizing structures colored with the PF values for individual peptides, a rational view of the structural features of various protein sites regarding their solvent accessibility is revealed, where high-PF regions are buried and low-PF regions are more exposed to the solvent. Furthermore, a detailed analysis correlating solvent accessibility and local structural contacts for gelsolin shows a statistically significant agreement between PF values and various structure measures, demonstrating that the PFs derived from this PF analysis readily explain fundamental HRF rate measurements. We also tested this PF analysis on alternative, chemical-based HRF data, showing improved correlations of structural properties of a model protein barstar compared to examining HRF rate data alone. Together, this PF analysis not only permits a novel, to our knowledge, approach of mapping protein structures by using footprinting data, but also elevates the use of HRF measurements from a qualitative, cross-state comparison to a quantitative, cross-site assessment of protein structures in the context of individual conformational states of interest.

Indexed as

Actin Depolymerizing FactorsAlgorithmsAmino AcidsComputer SimulationFactor Analysis, StatisticalFungal ProteinsGelsolinHumansHydroxyl RadicalKineticsMass SpectrometryModels, MolecularProtein ConformationProteinsSolventsSynchrotronsActin Depolymerizing FactorsAmino AcidsFungal ProteinsGelsolinHydroxyl RadicalProteinsSolvents

Identifiers

PMID25564857
PMCPMC4286602
OpenAlexW2125167271

What OpenQuestion holds

Textmetadata
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.