Evidence map›Paper›PMID 32061125›Full record

ArticleBioinformatics (Oxford, England)2020

MichelaNglo: sculpting protein views on web pages without coding.

Matteo P Ferla, Alistair T Pagnamenta, David Damerell, Jenny C Taylor, Brian D Marsden

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. MolViewStories: Interactive molecular storytelling.Protein science : a publication of the Protein Society · 2026
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  14. Expanding the phenotypic spectrum of BCS1L-related mitochondrial disease.Annals of clinical and translational neurology · 2021
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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

5 authors.

Matteo P FerlaNIHR Oxford BRC Genomic Medicine, Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Alistair T PagnamentaNIHR Oxford BRC Genomic Medicine, Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
David DamerellStructural Genomics Consortium, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK.
Jenny C TaylorNIHR Oxford BRC Genomic Medicine, Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Brian D MarsdenStructural Genomics Consortium, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK.

Funding

Wellcome Trust 106169/ZZ14/ZWellcome Trust 203141/Z/16/Z
6 · The paper itself

Abstract

motivationThe sharing of macromolecular structural information online by scientists is predominantly performed via 2D static images, since the embedding of interactive 3D structures in webpages is non-trivial. Whilst the technologies to do so exist, they are often only implementable with significant web coding experience.

resultsMichelaɴɢʟo is an accessible and open-source web-based application that supports the generation, customization and sharing of interactive 3D macromolecular visualizations for digital media without requiring programming skills. A PyMOL file, PDB file, PDB identifier code or protein/gene name can be provided to form the basis of visualizations using the NGL JavaScript library. Hyperlinks that control the view can be added to text within the page. Protein-coding variants can be highlighted to support interpretation of their potential functional consequences. The resulting visualizations and text can be customized and shared, as well as embedded within existing websites by following instructions and using a self-contained download. Michelaɴɢʟo allows researchers to move away from static images and instead engage, describe and explain their protein to a wider audience in a more interactive fashion. AVAILABILITY AND IMPLEMENTATION: Michelaɴɢʟo is hosted at michelanglo.sgc.ox.ac.uk. The Python code is freely available at https://github.com/thesgc/MichelaNGLo, along with documentations about its implementation.

Indexed as

InternetSoftwareDocumentationMacromolecular SubstancesProteinsMacromolecular SubstancesProteins

Identifiers

PMID32061125
PMCPMC7214029

What OpenQuestion holds

Textmetadata
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.