Evidence map›Paper›PMID 32071929›Full record

ArticleStructural dynamics (Melville, N.Y.)2020

MicroED methodology and development.

Brent L Nannenga

Open access · goldAbstract read
In one paragraph

Article in Structural dynamics (Melville, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Multimodal Nanoscale Mapping of Local Structure and COJournal of the American Chemical Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. MicroED in drug discovery.Current opinion in structural biology · 2023
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. MicroED and cannabinoid research.Journal of cannabis research · 2021
    Article
  17. Review
  18. Article
  19. MicroED Sample Preparation and Data Collection For Protein Crystals.Methods in molecular biology (Clifton, N.J.) · 2021
    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

1 author at 1 institution in 1 country.

Brent L NannengaChemical Engineering, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, Arizona 85287, USA and Center for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, Arizona 85281, USA.ORCID https://orcid.org/0000-0001-6859-3429
Arizona State University · US

Funding

Structure Determination of G Protein-Coupled Receptors by Microcrystal Electron DiffractionR01GM124152 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NANNENGA, BRENT · 2017 to 2021
$1.6M
Visualizing chemical bonding in biological macromolecules by microcrystal electron diffractionR21GM135784 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NANNENGA, BRENT · 2019 to 2020
$432k
NIGMS NIH HHS R01 GM124152NIGMS NIH HHS R21 GM135784
6 · The paper itself

Abstract

Microcrystal electron diffraction, or MicroED, is a method that is capable of determining structure from very small and thin 3D crystals using a transmission electron microscope. MicroED has been successfully used on microcrystalline samples, including proteins, peptides, and small organic molecules, in many cases to very high resolutions. In this work, the MicroED workflow will be briefly described and areas of future method development will be highlighted. These areas include improvements in sample preparation, data collection, and structure determination.

Identifiers

PMID32071929
PMCPMC7018523
OpenAlexW3005727959

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.