Evidence map›Paper›PMID 34915128›Full record

ArticleJournal of structural biology2022

EMDA: A Python package for Electron Microscopy Data Analysis.

Rangana Warshamanage, Keitaro Yamashita, Garib N Murshudov

Open access · hybridAbstract read
In one paragraph

Article in Journal of structural biology, 2022. 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
4.5field-weighted citation impact, top 5% of its field
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, 35 citations in OpenAlex.

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  9. The open gate of the AMPA receptor forms a CaNature structural & molecular biology · 2024
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  19. Validation analysis of EMDB entries.Acta crystallographica. Section D, Structural biology · 2022
    Article
  20. 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 at 1 institution in 1 country.

Rangana WarshamanageStructural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom. Electronic address: ranganaw@mrc-lmb.cam.ac.uk.
Keitaro YamashitaStructural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom.
Garib N MurshudovStructural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom. Electronic address: garib@mrc-lmb.cam.ac.uk.
MRC Laboratory of Molecular Biology · GB

Funding

Medical Research Council MC_UP_A025_1012Wellcome TrustWellcome Trust 208398/Z/17/Z
6 · The paper itself

Abstract

An open-source Python library EMDA for cryo-EM map and model manipulation is presented with a specific focus on validation. The use of several functionalities in the library is presented through several examples. The utility of local correlation as a metric for identifying map-model differences and unmodeled regions in maps, and how it is used as a metric of map-model validation is demonstrated. The mapping of local correlation to individual atoms, and its use to draw insights on local signal variations are discussed. EMDA's likelihood-based map overlay is demonstrated by carrying out a superposition of two domains in two related structures. The overlay is carried out first to bring both maps into the same coordinate frame and then to estimate the relative movement of domains. Finally, the map magnification refinement in EMDA is presented with an example to highlight the importance of adjusting the map magnification in structural comparison studies.

Indexed as

Data AnalysisCryoelectron MicroscopyLikelihood FunctionsMicroscopy, ElectronModels, MolecularProtein ConformationCryo-EMEMDALikelihoodLocal correlationMagnificationOverlay

Identifiers

PMID34915128
PMCPMC8935390
OpenAlexW4220828523

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.