Evidence map›Paper›PMID 18713471›Full record

ArticleBMC bioinformatics2008

A robust linear regression based algorithm for automated evaluation of peptide identifications from shotgun proteomics by use of reversed-phase liquid chromatography retention time.

Hua Xu, Lanhao Yang, Michael A Freitas

Abstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Trial
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  3. AI applications in functional genomics.Computational and structural biotechnology journal · 2021
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  12. UV photodegradation of murine growth hormone: chemical analysis and immunogenicity consequences.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2014
    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.

Hua XuDepartment of Molecular Virology Immunology and Medical Genetics, Comprehensive Cancer Center, the Ohio State University Medical Center, Columbus, OH 43210, USA. xu.171@osu.edu
Lanhao Yang
Michael A Freitas

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
PathologyP01CA101956 · NCI · OHIO STATE UNIVERSITY · PI BYRD, JOHN C. · 2006 to 2010
$11.4M
Assays for Screening Histone Modifications in CancerR01CA107106 · NCI · OHIO STATE UNIVERSITY · PI FREITAS, MICHAEL A. · 2004 to 2013
$1.8M
Acquisition of a high-throughput high mass accuracy MS for chromatin researchS10RR023647 · NCRR · OHIO STATE UNIVERSITY · PI FREITAS, MICHAEL A · 2007 to 2007
$500k
Assays for Screening Histone Modificaitons in CancerR56CA107106 · NCI · OHIO STATE UNIVERSITY · PI FREITAS, MICHAEL A. · 2009 to 2009
$231k
NCI NIH HHS CA101956NCI NIH HHS CA107106NCI NIH HHS P01 CA101956NCI NIH HHS R01 CA107106NCI NIH HHS R56 CA107106NCRR NIH HHS P41 RR018522NCRR NIH HHS RR18522NCRR NIH HHS S10 RR023647
6 · The paper itself

Abstract

backgroundRejection of false positive peptide matches in database searches of shotgun proteomic experimental data is highly desirable. Several methods have been developed to use the peptide retention time as to refine and improve peptide identifications from database search algorithms. This report describes the implementation of an automated approach to reduce false positives and validate peptide matches.

resultsA robust linear regression based algorithm was developed to automate the evaluation of peptide identifications obtained from shotgun proteomic experiments. The algorithm scores peptides based on their predicted and observed reversed-phase liquid chromatography retention times. The robust algorithm does not require internal or external peptide standards to train or calibrate the linear regression model used for peptide retention time prediction. The algorithm is generic and can be incorporated into any database search program to perform automated evaluation of the candidate peptide matches based on their retention times. It provides a statistical score for each peptide match based on its retention time.

conclusionAnalysis of peptide matches where the retention time score was included resulted in a significant reduction of false positive matches with little effect on the number of true positives. Overall higher sensitivities and specificities were achieved for database searches carried out with MassMatrix, Mascot and X!Tandem after implementation of the retention time based score algorithm.

Indexed as

AlgorithmsModels, ChemicalAmino Acid SequenceArtificial IntelligenceChromatography, LiquidComputer SimulationLinear ModelsMolecular Sequence DataPattern Recognition, AutomatedPeptidesProteomeRegression AnalysisSequence Analysis, ProteinTime FactorsPeptidesProteome

Identifiers

PMID18713471
PMCPMC2553802

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LicenceCC BY
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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.