Evidence map›Paper›PMID 34499718›Full record

ArticleBioinformatics (Oxford, England)2021

ConPlot: web-based application for the visualization of protein contact maps integrated with other data.

Filomeno Sánchez Rodríguez, Shahram Mesdaghi, Adam J Simpkin, J Javier Burgos-Mármol, David L Murphy, Ville Uski, Ronan M Keegan, Daniel J Rigden

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The CCP4 suite: integrative software for macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2023
    Article
  2. Computational Resources for Bioscience Education.Applied biochemistry and biotechnology · 2021
    Article
  3. 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

8 authors.

Filomeno Sánchez RodríguezInstitute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Shahram MesdaghiInstitute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Adam J SimpkinInstitute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
J Javier Burgos-MármolInstitute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
David L MurphyInstitute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Ville UskiUKRI-STFC, Rutherford Appleton Laboratory, Research Complex at Harwell, Didcot OX11 0FA, UK.
Ronan M KeeganUKRI-STFC, Rutherford Appleton Laboratory, Research Complex at Harwell, Didcot OX11 0FA, UK.
Daniel J RigdenInstitute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.ORCID 0000-0002-7565-8937

Funding

Biotechnology and Biological Sciences Research Council BB/S007105/1
6 · The paper itself

Abstract

summaryCovariance-based predictions of residue contacts and inter-residue distances are an increasingly popular data type in protein bioinformatics. Here we present ConPlot, a web-based application for convenient display and analysis of contact maps and distograms. Integration of predicted contact data with other predictions is often required to facilitate inference of structural features. ConPlot can therefore use the empty space near the contact map diagonal to display multiple coloured tracks representing other sequence-based predictions. Popular file formats are natively read and bespoke data can also be flexibly displayed. This novel visualization will enable easier interpretation of predicted contact maps. AVAILABILITY AND IMPLEMENTATION: available online at www.conplot.org, along with documentation and examples. Alternatively, ConPlot can be installed and used locally using the docker image from the project's Docker Hub repository. ConPlot is licensed under the BSD 3-Clause. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ProteinsSoftwareInternetProteins

Identifiers

PMID34499718
PMCPMC8428603

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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.