Evidence map›Paper›PMID 37196155›Full record

ArticleAnalytical chemistry2023

TopFD: A Proteoform Feature Detection Tool for Top-Down Proteomics.

Abdul Rehman Basharat, Yong Zang, Liangliang Sun, Xiaowen Liu

Abstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. A Draft Map of E. coli Proteoforms.Analytical chemistry · 2026
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  19. Modification of human metallothioneins by garlic organosulfur compounds, allicin and ajoene: direct effect on zinc homeostasis with relevance to immune regulation.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025
    Article
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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.

Abdul Rehman BasharatDepartment of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana 46202, United States.ORCID 0000-0002-4675-5375
Yong ZangDepartment of Biostatistics and Health Data Sciences, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.
Liangliang SunDepartment of Chemistry, Michigan State University, East Lansing, Michigan 48824, United States.ORCID 0000-0001-8939-5042
Xiaowen LiuDeming Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana 70112, United States.ORCID 0000-0003-4139-1127

Funding

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
Quantitative top-down proteomics of human colorectal cancer cells and tumorsR01CA247863 · NCI · MICHIGAN STATE UNIVERSITY · PI HUMMON, AMANDA B., LIU, XIAOWEN · 2021 to 2025
$1.9M
Quantitative proteomics of Zebrafish embryos and blastomeresR01GM125991 · NIGMS · MICHIGAN STATE UNIVERSITY · PI SUN, LIANGLIANG · 2018 to 2022
$1.7M
NCI NIH HHS R01 CA247863NIGMS NIH HHS R01 GM118470NIGMS NIH HHS R01 GM125991
6 · The paper itself

Abstract

Top-down liquid chromatography-mass spectrometry (LC-MS) analyzes intact proteoforms and generates mass spectra containing peaks of proteoforms with various isotopic compositions, charge states, and retention times. An essential step in top-down MS data analysis is proteoform feature detection, which aims to group these peaks into peak sets (features), each containing all peaks of a proteoform. Accurate protein feature detection enhances the accuracy in MS-based proteoform identification and quantification. Here, we present TopFD, a software tool for top-down MS feature detection that integrates algorithms for proteoform feature detection, feature boundary refinement, and machine learning models for proteoform feature evaluation. We performed extensive benchmarking of TopFD, ProMex, FlashDeconv, and Xtract using seven top-down MS data sets and demonstrated that TopFD outperforms other tools in feature accuracy, reproducibility, and feature abundance reproducibility.

Indexed as

ProteomeProteomicsMass SpectrometryReproducibility of ResultsSoftwareProteome

Identifiers

PMID37196155
PMCPMC10233584

What OpenQuestion holds

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LicenceCC BY
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.