Evidence map›Paper›PMID 27615690›Full record

ArticleJournal of proteome research2016

Impact of Amidination on Peptide Fragmentation and Identification in Shotgun Proteomics.

Sujun Li, Aditi Dabir, Santosh A Misal, Haixu Tang, Predrag Radivojac, James P Reilly

Abstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ETD-Cleavable Linker for Confident Cross-linked Peptide Identifications.Journal of the American Society for Mass Spectrometry · 2019
    Article
  5. 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.

Sujun LiSchool of Informatics and Computing, Indiana University , Bloomington, Indiana 47405, United States.
Aditi DabirDepartment of Chemistry, Indiana University , Bloomington, Indiana 47405, United States.
Santosh A MisalDepartment of Chemistry, Indiana University , Bloomington, Indiana 47405, United States.
Haixu TangSchool of Informatics and Computing, Indiana University , Bloomington, Indiana 47405, United States.
Predrag RadivojacSchool of Informatics and Computing, Indiana University , Bloomington, Indiana 47405, United States.
James P ReillyDepartment of Chemistry, Indiana University , Bloomington, Indiana 47405, United States.

Funding

Interactions Regulating Translation and Protein Biogenesis in VivoU54GM105816 · NIGMS · UNIVERSITY OF NOTRE DAME · PI BUSKIRK, ALLEN ROWDON, CLARK, PATRICIA LOUISE · 2013 to 2017
$3.7M
Computational approaches to protein identification and quantification using MS/MSR01GM103725 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI RADIVOJAC, PREDRAG · 2012 to 2015
$1.7M
NIGMS NIH HHS R01 GM103725NIGMS NIH HHS U54 GM105816
6 · The paper itself

Abstract

Peptide amidination labeling using S-methyl thioacetimidate (SMTA) is investigated in an attempt to increase the number and types of peptides that can be detected in a bottom-up proteomics experiment. This derivatization method affects the basicity of lysine residues and is shown here to significantly impact the idiosyncracies of peptide fragmentation and peptide detectability. The unique and highly reproducible fragmentation properties of SMTA-labeled peptides, such as the strong propensity for forming b

Indexed as

AlgorithmsAmidesImidoestersLysinePeptide FragmentsProteomicsStaining and LabelingAmidesImidoestersLysinePeptide FragmentsS-methylthioacetimidateamidinationchemical modificationfragment ionslogistic regressionmass spectrometrypeptide fragmentationpeptide identificationproteomics

Identifiers

PMID27615690
PMCPMC5767123

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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.