Evidence map›Paper›PMID 19788317›Full record

ArticleAnalytical chemistry2009

Integrated algorithms for high-throughput examination of covalently labeled biomolecules by structural mass spectrometry.

Parminder Kaur, Janna G Kiselar, Mark R Chance

Abstract read
In one paragraph

Article in Analytical chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  15. Article
  16. Mapping of Fab-1:VEGF Interface Using Carboxyl Group Footprinting Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2015
    Article
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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

3 authors.

Parminder KaurCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, Ohio 44106, USA. pkhatra@case.edu
Janna G Kiselar
Mark R Chance

Funding

SUBPROJECT 5U54GM074945 · NIGMS · SGX PHARMACEUTICALS, INC. · PI BURLEY, STEPHEN KEVIN · 2005 to 2009
$46.2M
Case Center for Synchrotron BiosciencesP30EB009998 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI CHANCE, MARK R · 2009 to 2018
$8.4M
Center for Synchrotron BiosciencesP41EB001979 · NIBIB · YESHIVA UNIVERSITY · PI CHANCE, MARK R · 2003 to 2008
$5.6M
NIBIB NIH HHS P30 EB009998NIBIB NIH HHS P41 EB001979NIBIB NIH HHS P41-EB-01979NIGMS NIH HHS U54 GM074945NIGMS NIH HHS U54-GM-074945
6 · The paper itself

Abstract

Mass spectrometry based structural proteomics approaches for probing protein structures are increasingly gaining in popularity. The potential for such studies is limited because of the lack of analytical techniques for the automated interpretation of resulting data. In this article, a suite of algorithms called ProtMapMS is developed, integrated, and implemented specifically for the comprehensive automatic analysis of mass spectrometry data obtained for protein structure studies using covalent labeling. The functions include data format conversion, mass spectrum interpretation, detection, and verification of all peptide species, confirmation of the modified peptide products, and quantification of the extent of peptide modification. The results thus obtained provide valuable data for use in combination with computational approaches for protein structure modeling. The structures of both monomeric and hexameric forms of insulin were investigated by oxidative protein footprinting followed by high-resolution mass spectrometry. The resultant data was analyzed both manually and using ProtMapMS without any manual intervention. The results obtained using the two methods were found to be in close agreement and overall were consistent with predictions from the crystallographic structure.

Indexed as

AlgorithmsAmino Acid SequenceHumansHydroxyl RadicalInsulinMass SpectrometryOxidation-ReductionProteomicsHydroxyl RadicalInsulin

Identifiers

PMID19788317
PMCPMC2764328

What OpenQuestion holds

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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.