Evidence map›Paper›PMID 20888467›Full record

ArticleMethods in enzymology2010

Analyses of subnanometer resolution cryo-EM density maps.

Matthew L Baker, Mariah R Baker, Corey F Hryc, Frank Dimaio

Abstract read
In one paragraph

Article in Methods in enzymology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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.

Matthew L BakerNational Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, USA.
Mariah R Baker
Corey F Hryc
Frank Dimaio

Funding

ZERNIKE PHASE PLATE CRYOEM IN OKAZAKIP41RR002250 · NCRR · UNIVERSITY OF ARIZONA · PI JOACHIMIAK, ANDRZEJ · 1985 to 2011
$22.1M
TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Unified Data Resource for Large Complexes Determined by Cryo-Electron MicroscopyR01GM079429 · NIGMS · STANFORD UNIVERSITY · PI CHIU, WAH · 2007 to 2021
$11.6M
Structures of the portal vertex in dsDNA viruses and virus-infected cellsR01AI075208 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI CHIU, WAH · 2009 to 2010
$1.0M
NCRR NIH HHS P41 RR002250NCRR NIH HHS P41RR02250NIAID NIH HHS R01AI0175208NIAID NIH HHS R01 AI075208NIGMS NIH HHS R01 GM079429NIGMS NIH HHS R01GM079429NLM NIH HHS T15 LM007093NLM NIH HHS T15LM007093
6 · The paper itself

Abstract

Today, electron cryomicroscopy (cryo-EM) can routinely achieve subnanometer resolutions of complex macromolecular assemblies. From a density map, one can extract key structural and functional information using a variety of computational analysis tools. At subnanometer resolution, these tools make it possible to isolate individual subunits, identify secondary structures, and accurately fit atomic models. With several cryo-EM studies achieving resolutions beyond 5Å, computational modeling and feature recognition tools have been employed to construct backbone and atomic models of the protein components directly from a density map. In this chapter, we describe several common classes of computational tools that can be used to analyze and model subnanometer resolution reconstructions from cryo-EM. A general protocol for analyzing subnanometer resolution density maps is presented along with a full description of steps used in analyzing the 4.3Å resolution structure of Mm-cpn.

Indexed as

Computer SimulationCryoelectron MicroscopyGroup II ChaperoninsImage Processing, Computer-AssistedModels, MolecularProtein ConformationProtein Structure, SecondaryGroup II Chaperonins

Identifiers

PMID20888467
PMCPMC3107677

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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.