Evidence map›Paper›PMID 21444829›Full record

ArticleMolecular & cellular proteomics : MCP2011

Gapped spectral dictionaries and their applications for database searches of tandem mass spectra.

Kyowon Jeong, Sangtae Kim, Nuno Bandeira, Pavel A Pevzner

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. A Spectrum Graph-Based Protein Sequence Filtering Algorithm for Proteoform Identification by Top-Down Mass Spectrometry.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2017
    Article
  4. PGx: Putting Peptides to BED.Journal of proteome research · 2016
    Article
  5. Article
  6. UniNovo: a universal tool for de novo peptide sequencing.Bioinformatics (Oxford, England) · 2013
    Article
  7. Review
  8. Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra.Uncertainty in artificial intelligence : proceedings of the ... conference. Conference on Uncertainty in Artificial Intelligence · 2012
    Article
  9. Article
  10. De novo sequencing and homology searching.Molecular & cellular proteomics : MCP · 2012
    Article
  11. Computational mass spectrometry-based proteomics.PLoS computational biology · 2011
    Article
  12. Article
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

4 authors at 1 institution in 1 country.

Kyowon JeongDepartment of Electrical and Computer Engineering, University of California, San Diego, CA, USA.
Sangtae Kim
Nuno Bandeira
Pavel A Pevzner
University of California, San Diego · US

Funding

CENTER FOR COMPUTATIONAL MASS-SPECTROMETRYP41RR024851 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2008 to 2011
$5.2M
NCRR NIH HHS P41 RR024851NCRR NIH HHS P-41-RR24851
6 · The paper itself

Abstract

Generating all plausible de novo interpretations of a peptide tandem mass (MS/MS) spectrum (Spectral Dictionary) and quickly matching them against the database represent a recently emerged alternative approach to peptide identification. However, the sizes of the Spectral Dictionaries quickly grow with the peptide length making their generation impractical for long peptides. We introduce Gapped Spectral Dictionaries (all plausible de novo interpretations with gaps) that can be easily generated for any peptide length thus addressing the limitation of the Spectral Dictionary approach. We show that Gapped Spectral Dictionaries are small thus opening a possibility of using them to speed-up MS/MS searches. Our MS-Gapped-Dictionary algorithm (based on Gapped Spectral Dictionaries) enables proteogenomics applications (such as searches in the six-frame translation of the human genome) that are prohibitively time consuming with existing approaches. MS-Gapped-Dictionary generates gapped peptides that occupy a niche between accurate but short peptide sequence tags and long but inaccurate full length peptide reconstructions. We show that, contrary to conventional wisdom, some high-quality spectra do not have good peptide sequence tags and introduce gapped tags that have advantages over the conventional peptide sequence tags in MS/MS database searches.

Indexed as

Databases, ProteinAlgorithmsBacterial ProteinsHEK293 CellsHumansSequence Analysis, ProteinShewanellaTandem Mass SpectrometryBacterial Proteins

Identifiers

PMID21444829
PMCPMC3108828
OpenAlexW2106309221

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.