Evidence map›Paper›PMID 16995952›Full record

ArticleProteome science2006

Analytical model of peptide mass cluster centres with applications.

Witold E Wolski, Malcolm Farrow, Anne-Katrin Emde, Hans Lehrach, Maciej Lalowski, Knut Reinert

Abstract read
In one paragraph

Article in Proteome science, 2006. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry.IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · 2010
    Article
  8. Improving mass defect filters for human proteins.Journal of proteome research · 2010
    Article
  9. Article
  10. A mass spectrometry primer for mass spectrometry imaging.Methods in molecular biology (Clifton, N.J.) · 2010
    Article
  11. 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

6 authors.

Witold E WolskiSchool of Mathematics and Statistics, Merz Court, University of Newcastle upon Tyne, NE1 7RU, UK. w.e.wolski@ncl.ac.uk
Malcolm Farrow
Anne-Katrin Emde
Hans Lehrach
Maciej Lalowski
Knut Reinert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe elemental composition of peptides results in formation of distinct, equidistantly spaced clusters across the mass range. The property of peptide mass clustering is used to calibrate peptide mass lists, to identify and remove non-peptide peaks and for data reduction.

resultsWe developed an analytical model of the peptide mass cluster centres. Inputs to the model included, the amino acid frequencies in the sequence database, the average length of the proteins in the database, the cleavage specificity of the proteolytic enzyme used and the cleavage probability. We examined the accuracy of our model by comparing it with the model based on an in silico sequence database digest. To identify the crucial parameters we analysed how the cluster centre location depends on the inputs. The distance to the nearest cluster was used to calibrate mass spectrometric peptide peak-lists and to identify non-peptide peaks.

conclusionThe model introduced here enables us to predict the location of the peptide mass cluster centres. It explains how the location of the cluster centres depends on the input parameters. Fast and efficient calibration and filtering of non-peptide peaks is achieved by a distance measure suggested by Wool and Smilansky.

Identifiers

PMID16995952
PMCPMC1617084

What OpenQuestion holds

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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.