Evidence map›Paper›PMID 30189321›Full record

ArticleJournal of structural biology2018

New software tools in EMAN2 inspired by EMDatabank map challenge.

James M Bell, Muyuan Chen, Tunay Durmaz, Adam C Fluty, Steven J Ludtke

Abstract read
In one paragraph

Article in Journal of structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

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  7. Structural basis for surface activation of the classical complement cascade by the short pentraxin C-reactive protein.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  16. Structural basis of substrate progression through the bacterial chaperonin cycle.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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.

James M BellGraduate Program in Quantitative and Computational Biology, Baylor College of Medicine, United States.
Muyuan ChenVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, United States.
Tunay DurmazVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, United States.
Adam C FlutyVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, United States.
Steven J LudtkeVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, United States. Electronic address: sludtke@bcm.edu.

Funding

3 D ELECTRON MICROSCOPY OF MACROMOLECULES (5P41RR002250-27)P41GM103832 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2012 to 2019
$15.1M
Unified Data Resource for Large Complexes Determined by Cryo-Electron MicroscopyR01GM079429 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2007 to 2021
$11.6M
HOUSTON AREA MOLECULAR BIOPHYSICS TRAINING PROGRAMT32GM008280 · NIGMS · RICE UNIVERSITY · PI WENSEL, THEODORE G · 1988 to 2023
$8.0M
SUPPORT AND DEVELOPMENT OF EMAN FOR ELECTRON MICROSCOPY IMAGE PROCESSINGR01GM080139 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LUDTKE, STEVEN J · 2006 to 2022
$5.4M
NIGMS NIH HHS P41 GM103832NIGMS NIH HHS R01 GM079429NIGMS NIH HHS R01 GM080139NIGMS NIH HHS T32 GM008280
6 · The paper itself

Abstract

EMAN2 is an extensible software suite with complete workflows for performing high-resolution single particle analysis, 2-D and 3-D heterogeneity analysis, and subtomogram averaging, among other tasks. Participation in the recent CryoEM Map Challenge sponsored by the EMDatabank led to a number of significant improvements to the single particle analysis process in EMAN2. A new convolutional neural network particle picker was developed, which dramatically improves particle picking accuracy for difficult data sets. A new particle quality metric capable of accurately identifying "bad" particles with a high degree of accuracy, no human input, and a negligible amount of additional computation, has been introduced, and this now serves as a replacement for earlier human-biased methods. The way 3-D single particle reconstructions are filtered has been altered to be more comparable to the filter applied in several other popular software packages, dramatically improving the appearance of sidechains in high-resolution structures. Finally, an option has been added to perform local resolution-based iterative filtration, resulting in local resolution improvements in many maps.

Indexed as

SoftwareAlgorithmsCryoelectron MicroscopyNeural Networks, Computer3-D reconstructionCryoEMEMDatabank map challengeImage processingSingle particle analysisStructural biology

Identifiers

PMID30189321
PMCPMC6163079

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.