Evidence map›Paper›PMID 28691494›Full record

ArticleJournal of proteome research2017

Two New Tools for Glycopeptide Analysis Researchers: A Glycopeptide Decoy Generator and a Large Data Set of Assigned CID Spectra of Glycopeptides.

Jude C Lakbub, Xiaomeng Su, Zhikai Zhu, Milani W Patabandige, David Hua, Eden P Go, Heather Desaire

Abstract read
In one paragraph

Article in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Jude C LakbubRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.
Xiaomeng SuRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.
Zhikai ZhuRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.
Milani W PatabandigeRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.
David HuaRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.
Eden P GoRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.
Heather DesaireRalph N. Adams Institute for Bioanalytical Chemistry, Department of Chemistry, University of Kansas , Lawrence, Kansas 66047, United States.ORCID 0000-0002-2181-0112

Funding

Development of a rapid glycosylation profiling system using mass spectrometry datR01GM103547 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI DESAIRE, HEATHER R · 2012 to 2017
$1.8M
NIGMS NIH HHS R01 GM103547
6 · The paper itself

Abstract

The glycopeptide analysis field is tightly constrained by a lack of effective tools that translate mass spectrometry data into meaningful chemical information, and perhaps the most challenging aspect of building effective glycopeptide analysis software is designing an accurate scoring algorithm for MS/MS data. We provide the glycoproteomics community with two tools to address this challenge. The first tool, a curated set of 100 expert-assigned CID spectra of glycopeptides, contains a diverse set of spectra from a variety of glycan types; the second tool, Glycopeptide Decoy Generator, is a new software application that generates glycopeptide decoys de novo. We developed these tools so that emerging methods of assigning glycopeptides' CID spectra could be rigorously tested. Software developers or those interested in developing skills in expert (manual) analysis can use these tools to facilitate their work. We demonstrate the tools' utility in assessing the quality of one particular glycopeptide software package, GlycoPep Grader, which assigns glycopeptides to CID spectra. We first acquired the set of 100 expert assigned CID spectra; then, we used the Decoy Generator (described herein) to generate 20 decoys per target glycopeptide. The assigned spectra and decoys were used to test the accuracy of GlycoPep Grader's scoring algorithm; new strengths and weaknesses were identified in the algorithm using this approach. Both newly developed tools are freely available. The software can be downloaded at http://glycopro.chem.ku.edu/GPJ.jar.

Indexed as

AlgorithmsSoftwareAnimalsDatabases, ProteinFalse Positive ReactionsGlycopeptidesHumansProteomicsTandem Mass SpectrometryGlycopeptidescollision-induced dissociationdecoysfalse discovery rateglycopeptideliquid chromatography−mass spectrometry

Identifiers

PMID28691494
PMCPMC6785177

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.