Evidence map›Paper›PMID 36383494›Full record

ArticleBioinformatics research and applications : 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings. ISBRA (Conference) (14th : 2018 : Beijing, China)2018

A Pattern Recognition Tool for Medium-resolution Cryo-EM Density Maps and Low-resolution Cryo-ET Density maps.

Devin Haslam, Salim Sazzed, Willy Wriggers, Julio Kovcas, Junha Song, Manfred Auer, Jing He

Open access · greenAbstract read
In one paragraph

Article in Bioinformatics research and applications : 14th International Symposium, ISBRA 2018, Beijing, China, June 8-11, 2018, Proceedings. ISBRA (Conference) (14th : 2018 : Beijing, China), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Devin HaslamDepartment of Computer Science, Old Dominion University, Norfolk, VA 23529, USA.
Salim SazzedDepartment of Computer Science, Old Dominion University, Norfolk, VA 23529, USA.
Willy WriggersDepartment of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Julio KovcasDepartment of Mechanical and Aerospace Engineering, Old Dominion University, Norfolk, VA 23529, USA.
Junha SongCell and Tissue Imaging, Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Manfred AuerCell and Tissue Imaging, Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Jing HeDepartment of Computer Science, Old Dominion University, Norfolk, VA 23529, USA.
Old Dominion University · USLawrence Berkeley National Laboratory · US

Funding

TUBULIN STRUCTURE BY ELECTRON CRYSTALLOGRAPHYP01GM051487 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CATE, JAMIE H · 1994 to 2018
$27.6M
Multi-Resolution Docking Methods for Electron MicroscopyR01GM062968 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WRIGGERS, WILLY R · 2001 to 2023
$4.8M
NIGMS NIH HHS P01 GM051487NIGMS NIH HHS R01 GM062968
6 · The paper itself

Abstract

Cryo-electron microscopy (Cryo-EM) and cryo-electron tomography (cryo-ET) produce 3-D density maps of biological molecules at a range of resolution levels. Pattern recognition tools are important in distinguishing biological components from volumetric maps with the available resolutions. One of the most distinct characters in density maps at medium (5-10 Å) resolution is the visibility of protein secondary structures. Although computational methods have been developed, the accurate detection of helices and β-strands from cryo-EM density maps is still an active research area. We have developed a tool for protein secondary structure detection and evaluation of medium resolution 3-D cryo-EM density maps which combines three computational methods (SSETracer, StrandTwister, and AxisComparison). The program was integrated in UCSF Chimera, a popular visualization software in the cryo-EM community. In related work, we have developed BundleTrac, a computational method to trace filaments in a bundle from lower resolution cryo-ET density maps. It has been applied to actin filament tracing in stereocilia with good accuracy and can be potentially added as a tool in Chimera.

Indexed as

Beta-strandsCryo-electron MicroscopyDensity MapFilamentHelixPattern RecognitionStereocilia

Identifiers

PMID36383494
PMCPMC9645795
OpenAlexW2816157571

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.