Evidence map›Paper›PMID 30230343›Full record

ArticleJournal of proteome research2018

Flexible and Fast Mapping of Peptides to a Proteome with ProteoMapper.

Luis Mendoza, Eric W Deutsch, Zhi Sun, David S Campbell, David D Shteynberg, Robert L Moritz

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  9. Synthetic genomes unveil the effects of synonymous recoding.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Advances and Utility of the Human Plasma Proteome.Journal of proteome research · 2021
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Proteomics Standards Initiative Extended FASTA Format.Journal of proteome research · 2019
    Article
  20. 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

6 authors at 1 institution in 1 country.

Luis MendozaInstitute for Systems Biology , 401 Terry Ave North , Seattle , Washington 98109 , United States.ORCID 0000-0003-0128-8643
Eric W DeutschInstitute for Systems Biology , 401 Terry Ave North , Seattle , Washington 98109 , United States.ORCID 0000-0001-8732-0928
Zhi SunInstitute for Systems Biology , 401 Terry Ave North , Seattle , Washington 98109 , United States.
David S CampbellInstitute for Systems Biology , 401 Terry Ave North , Seattle , Washington 98109 , United States.
David D ShteynbergInstitute for Systems Biology , 401 Terry Ave North , Seattle , Washington 98109 , United States.
Robert L MoritzInstitute for Systems Biology , 401 Terry Ave North , Seattle , Washington 98109 , United States.ORCID 0000-0002-3216-9447
North Seattle College · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
COPD Susceptibility, Heterogeneity, and Progression: Proteomics and GeneticsR01HL133135 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORITZ, ROBERT L, SILVERMAN, EDWIN K · 2017 to 2025
$7.2M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Advancing data and metadata standards for proteomics mass spectraR24GM127667 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC · 2017 to 2019
$1.2M
Novel peptide based biomarkers for Lyme disease diagnosticsR21AI133335 · NIAID · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2018 to 2019
$522k
NHLBI NIH HHS R01 HL133135NIAID NIH HHS R21 AI133335NIBIB NIH HHS U54 EB020406NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221NIGMS NIH HHS R24 GM127667
6 · The paper itself

Abstract

Bottom-up proteomics relies on the proteolytic or chemical cleavage of proteins into peptides, the identification of those peptides via mass spectrometry, and the mapping of the identified peptides back to the reference proteome to infer which possible proteins are identified. Reliable mapping of peptides to proteins still poses substantial challenges when considering similar proteins, protein families, splice isoforms, sequence variation, and possible residue mass modifications, combined with an imperfect and incomplete understanding of the proteome. The ProteoMapper tool enables a comprehensive and rapid mapping of peptides to a reference proteome. The indexer component creates a segmented index for an input proteome from a FASTA or PEFF file. The ProMaST component provides ultrafast mapping of one or more input peptides against the index. ProteoMapper allows searches that take into account known sequence variation encoded in PEFF files. It also enables fuzzy searches to find highly similar peptides with residue order changes or other isobaric or near-isobaric substitutions within a specified mass tolerance. We demonstrate an example of a one-hit-wonder identification in PeptideAtlas that may be better explained by a combination of catalogued and uncatalogued sequence variation in another highly observed protein. ProteoMapper is a free and open source, available for local use after downloading, embedding in other applications, as an online web tool at http://www.peptideatlas.org/map , and as a web service.

Indexed as

ProteomeSoftwareAmino Acid SequenceAnimalsGenetic VariationHumansMass SpectrometryPeptide MappingProteinsProteinsProteomeCLIPSHuman Proteome Projectmass spectrometryPEFFpeptidesProMaSTProteoMapperproteomicssingle amino acid variations

Identifiers

PMID30230343
PMCPMC6438762
OpenAlexW2891058490

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.