Evidence map›Paper›PMID 30525651›Full record

ArticleJournal of proteome research2019

Proxl (Protein Cross-Linking Database): A Public Server, QC Tools, and Other Major Updates.

Michael Riffle, Daniel Jaschob, Alex Zelter, Trisha N Davis

Abstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Review
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  9. Review
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.

Michael RiffleDepartment of Biochemistry , University of Washington , Seattle , Washington 98195 , United States.ORCID 0000-0003-1633-8607
Daniel JaschobDepartment of Biochemistry , University of Washington , Seattle , Washington 98195 , United States.ORCID 0000-0002-5383-9702
Alex ZelterDepartment of Biochemistry , University of Washington , Seattle , Washington 98195 , United States.ORCID 0000-0002-5331-0577
Trisha N DavisDepartment of Biochemistry , University of Washington , Seattle , Washington 98195 , United States.

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

Proxl is an open-source web application for sharing, visualizing, and analyzing bottom-up protein cross-linking mass spectrometry data and results. Proxl's core features include comparing data sets, structural analysis, customizable and interactive data visualizations, access to all underlying mass spectrometry data, and quality-control tools. All features of Proxl are designed to be independent of specific cross-linker chemistry or software analysis pipelines. Proxl's sharing tools allow users to share their data with the public or securely restrict access to trusted collaborators. Since being published in 2016, Proxl has continued to be expanded and improved through active development and collaboration with cross-linking researchers. Some of Proxl's new features include a centralized, public site for sharing data, greatly expanded quality-control tools and visualizations, support for stable isotope-labeled peptides, and general improvements that make Proxl easier to use, data easier to share and import, and data visualizations more customizable. Source code and more information are found at http://proxl-ms.org/ .

Indexed as

Databases, ProteinSoftwareInformation DisseminationMass SpectrometryProteomicsQuality ControlUser-Computer Interfacebioinformaticscross-linkingdatabasedata visualizationproteomicssoftwarestructure

Identifiers

PMID30525651
PMCPMC6417915

What OpenQuestion holds

Textmetadata
LicenceTDM
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.