Evidence map›Paper›PMID 34023887›Full record

ArticleNucleic acids research2021

DomainViz: intuitive visualization of consensus domain distributions across groups of proteins.

Pascal Schläpfer, Devang Mehta, Cameron Ridderikhoff, R Glen Uhrig

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Pascal SchläpferInstitute for Molecular Plant Biology, D-BIOL, ETH Zurich, Zürich 8092, Switzerland.ORCID 0000-0002-0828-8681
Devang MehtaDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.ORCID 0000-0002-8911-1174
Cameron RidderikhoffDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.
R Glen UhrigDepartment of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada.ORCID 0000-0003-2773-4381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prediction of functional domains is typically among the first steps towards understanding the function of new proteins and protein families. There are numerous databases of annotated protein domains that permit researchers to identify domains on individual proteins of interest. However, it is necessary to perform high-throughput domain searches to gain evolutionary insight into the functions of proteins and protein families. Unfortunately, at present, it is difficult to search for, and visualize domain conservation across multiple proteins and/or multiple groups of proteins in an intuitive manner. Here we present DomainViz, a new web-server that streamlines the identification and visualization of domains across multiple protein sequences. Currently, DomainViz uses the well-established PFAM and Prosite databases for domain searching and assembles intuitive, publication-ready 'monument valley' plots (mv-plots) that display the extent of domain conservation along two dimensions: positionality and frequency of occurrence in the input protein sequences. In addition, DomainViz produces a conventional domain-ordering figure. DomainViz can be used to explore the conservation of domains within a single protein family, across multiple families, and across families from different species to support studies into protein function and evolution. The web-server is publicly available at: https://uhrigprotools.biology.ualberta.ca/domainviz.

Indexed as

Protein DomainsSoftwareAmino Acid SequenceConsensus SequenceConserved SequenceDatabases, ProteinSequence Analysis, Protein

Identifiers

PMID34023887
PMCPMC8262717

What OpenQuestion holds

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LicenceCC BY-NC
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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.