Evidence map›Paper›PMID 27423895›Full record

ArticleBioinformatics (Oxford, England)2016

TopPIC: a software tool for top-down mass spectrometry-based proteoform identification and characterization.

Qiang Kou, Likun Xun, Xiaowen Liu

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
177citing papers in PubMed, 1 pooled it
–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

177 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. A Draft Map of E. coli Proteoforms.Analytical chemistry · 2026
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117 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

3 authors.

Qiang KouDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA.
Likun XunDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA.
Xiaowen LiuDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Computational tools for top down mass spectrometry based proteoform identification and proteogenomicsR01GM118470 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Xiaowen Liu · 2016 to 2026
$2.7M
NCATS NIH HHS UL1 TR001108NIGMS NIH HHS R01 GM118470
6 · The paper itself

Abstract

Top-down mass spectrometry enables the observation of whole complex proteoforms in biological samples and provides crucial information complementary to bottom-up mass spectrometry. Because of the complexity of top-down mass spectra and proteoforms, it is a challenging problem to efficiently interpret top-down tandem mass spectra in high-throughput proteome-level proteomics studies. We present TopPIC, a tool that efficiently identifies and characterizes complex proteoforms with unknown primary structure alterations, such as amino acid mutations and post-translational modifications, by searching top-down tandem mass spectra against a protein database. AVAILABILITY AND IMPLEMENTATION: http://proteomics.informatics.iupui.edu/software/toppic/ CONTACT: xwliu@iupui.eduSupplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

ProteomeProteomicsAnimalsHumansProtein Processing, Post-TranslationalSoftwareTandem Mass SpectrometryProteome

Identifiers

PMID27423895
PMCPMC5181555

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.