Evidence map›Paper›PMID 36511722›Full record

ArticleJournal of proteome research2023

Sequence Coverage Visualizer: A Web Application for Protein Sequence Coverage 3D Visualization.

Xinhao Shao, Christopher Grams, Yu Gao

Abstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Exosomal PPARγ derived from macrophages suppresses LPS-induced peritonitis by negative regulation of CD14/TLR4 axis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Article
  9. Article
  10. 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

3 authors.

Xinhao ShaoDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois60612, United States.
Christopher GramsDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois60612, United States.
Yu GaoDepartment of Pharmaceutical Sciences, University of Illinois at Chicago, Chicago, Illinois60612, United States.ORCID 0000-0003-3220-4721

Funding

Highly sensitive proteomics method to probe cell heterogeneity at single cell resolutionR35GM133416 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Yu Gao · 2019 to 2026
$2.4M
NIGMS NIH HHS R35 GM133416
6 · The paper itself

Abstract

Protein structure defines protein function and plays an extremely important role in protein characterization. Recently, two groups of researchers from DeepMind and the Baker lab have independently published protein structure prediction tools that can help us obtain predicted protein structures for the whole human proteome. This enabled us to visualize the entire human proteome using predicted 3D structures for the first time. To help other researchers best utilize these protein structure predictions in proteomics experiments, we present the Sequence Coverage Visualizer (SCV), http://scv.lab.gy, a web application for protein sequence coverage 3D visualization. Here we showed a few possible usages of the SCV, including the labeling of post-translational modifications and isotope labeling experiments. These results highlight the usefulness of such 3D visualization for proteomics experiments and how SCV can turn a regular proteomics experiment (identified peptide list) into structural insights. Furthermore, when used together with limited proteolysis, we demonstrated that SCV can help to compare different protein structures from different sources, including predicted ones and existing PDB entries. We hope our tool can provide help in the process of improving protein structure prediction accuracy. Overall, SCV is a convenient and powerful tool for visualizing proteomics results in 3D.

Indexed as

Imaging, Three-DimensionalProteomeAmino Acid SequenceHumansPeptidesProteomicsSoftwarePeptidesProteome3D structurelimited proteolysisprotein sequence coveragevisualization

Identifiers

PMID36511722
PMCPMC10232130

What OpenQuestion holds

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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.