Evidence map›Paper›PMID 27710115›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2017

Cross-Validation of Data Compatibility Between Small Angle X-ray Scattering and Cryo-Electron Microscopy.

Jin Seob Kim, Bijan Afsari, Gregory S Chirikjian

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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.

Jin Seob Kim1 Department of Mechanical Engineering, Johns Hopkins University , Baltimore, Maryland.
Bijan Afsari2 Center for Imaging Science, Johns Hopkins University , Baltimore, Maryland.
Gregory S Chirikjian1 Department of Mechanical Engineering, Johns Hopkins University , Baltimore, Maryland.

Funding

Information Fusion in Biomolecular Structure and Motion DeterminationR01GM113240 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CHIRIKJIAN, GREGORY · 2014 to 2018
$1.9M
NIGMS NIH HHS R01 GM113240
6 · The paper itself

Abstract

Cryo-electron microscopy (EM) and small angle X-ray scattering (SAXS) are two different data acquisition modalities often used to glean information about the structure of large biomolecular complexes in their native states. A SAXS experiment is generally considered fast and easy but unveils the structure at very low resolution, whereas a cryo-EM experiment needs more extensive preparation and postacquisition computation to yield a three-dimensional (3D) density map at higher resolution. In certain applications, we may need to verify whether the data acquired in the SAXS and cryo-EM experiments correspond to the same structure (e.g., before reconstructing the 3D density map in EM). In this article, a simple and fast method is proposed to verify the compatibility of the SAXS and EM experimental data. The method is based on averaging the two-dimensional correlation of EM images and the Abel transform of the SAXS data. Orientational preferences are known to exist in cryo-EM experiments, and we also consider these effects on our method. The results are verified on simulations of conformational states of large biomolecular complexes.

Indexed as

AlgorithmsModels, MolecularCryoelectron MicroscopyHumansImage Processing, Computer-AssistedMacromolecular SubstancesProtein ConformationReceptors, GlutamateScattering, Small AngleX-Ray DiffractionMacromolecular SubstancesReceptors, GlutamateAbel transformcompatibilitycorrelation functioncryo-EMpreferred orientationsSAXS

Identifiers

PMID27710115
PMCPMC5220572

What OpenQuestion holds

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Registered trials

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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.