Evidence map›Paper›PMID 25358478›Full record

ArticleNature communications2014

MS-GF+ makes progress towards a universal database search tool for proteomics.

Sangtae Kim, Pavel A Pevzner

Open access · bronzeAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 608 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
608citing papers in PubMed, 2 pooled it
36.5field-weighted citation impact, top 1% 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

608 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,176 citations in OpenAlex.

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548 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

2 authors at 1 institution in 1 country.

Sangtae KimDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA.
Pavel A PevznerDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA.
University of California, San Diego · US

Funding

TrainingP41GM103484 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2012 to 2018
$8.7M
CENTER FOR COMPUTATIONAL MASS-SPECTROMETRYP41RR024851 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2008 to 2011
$5.2M
NCRR NIH HHS 1-P41-RR024851NCRR NIH HHS P41 RR024851NIGMS NIH HHS P41 GM103484
6 · The paper itself

Abstract

Mass spectrometry (MS) instruments and experimental protocols are rapidly advancing, but the software tools to analyse tandem mass spectra are lagging behind. We present a database search tool MS-GF+ that is sensitive (it identifies more peptides than most other database search tools) and universal (it works well for diverse types of spectra, different configurations of MS instruments and different experimental protocols). We benchmark MS-GF+ using diverse spectral data sets: (i) spectra of varying fragmentation methods; (ii) spectra of multiple enzyme digests; (iii) spectra of phosphorylated peptides; and (iv) spectra of peptides with unusual fragmentation propensities produced by a novel alpha-lytic protease. For all these data sets, MS-GF+ significantly increases the number of identified peptides compared with commonly used methods for peptide identifications. We emphasize that although MS-GF+ is not specifically designed for any particular experimental set-up, it improves on the performance of tools specifically designed for these applications (for example, specialized tools for phosphoproteomics).

Indexed as

ProteomicsSearch EngineSoftwareTandem Mass SpectrometryPeptidesPeptides

Identifiers

PMID25358478
PMCPMC5036525
OpenAlexW2028673251

What OpenQuestion holds

Textmetadata
LicenceTDM
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.