Evidence map›Paper›PMID 32890683›Full record

ReviewBioorganic & medicinal chemistry letters2020

Cryo-EM as a powerful tool for drug discovery.

John H Van Drie, Liang Tong

Abstract readReview
In one paragraph

Review in Bioorganic & medicinal chemistry letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Investigating Potential 5' UTR G-Quadruplexes Within NRF2 mRNA.Current issues in molecular biology · 2026
    Article
  6. Neural Networks to Calculate CDK2 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Tree-Based Methods to Predict Enzyme Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Molegro Data Modeller to Estimate CDK6 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  9. Differential Evolution for Docking Simulations.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Targeting CDK9 with Molegro Virtual Docker.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. Neural Networks with Molegro Data Modeller.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  12. CDK7 as a Target for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Molegro Data Modeller for Machine Learning.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  14. Hands-On Docking with Molegro Virtual Docker.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  15. Molegro Virtual Docker for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  16. Machine Learning to Predict CDK4 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  17. Review
  18. AlphaFold for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  19. Review
  20. 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

2 authors.

John H Van DrieVan Drie Research LLC, 109 Millpond, North Andover, MA 01845, USA. Electronic address: john@vandrieresearch.com.
Liang TongDepartment of Biological Sciences, Columbia University, New York, NY 10027, USA. Electronic address: ltong@columbia.edu.

Funding

Structural and functional studies of mRNA processing, stability and quality controlR35GM118093 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIANG TONG · 2016 to 2026
$8.5M
NIGMS NIH HHS R35 GM118093
6 · The paper itself

Abstract

The recent revolution in cryo-EM has produced an explosion of structures at near-atomic or better resolution. This has allowed cryo-EM structures to provide visualization of bound small-molecule ligands in the macromolecules, and these new structures have provided unprecedented insights into the molecular mechanisms of complex biochemical processes. They have also had a profound impact on drug discovery, defining the binding modes and mechanisms of action of well-known drugs as well as driving the design and development of new compounds. This review will summarize and highlight some of these structures. Most excitingly, the latest cryo-EM technology has produced structures at 1.2 Å resolution, further solidifying cryo-EM as a powerful tool for drug discovery. Therefore, cryo-EM will play an ever-increasing role in drug discovery in the coming years.

Indexed as

Cryoelectron MicroscopyDrug DiscoveryHumansLigandsMacromolecular SubstancesModels, MolecularMolecular StructurePharmaceutical PreparationsSmall Molecule LibrariesLigandsMacromolecular SubstancesPharmaceutical PreparationsSmall Molecule LibrariesCryo-EMDrug discoveryMicroscopyStructure-based drug design

Identifiers

PMID32890683
PMCPMC7467112

What OpenQuestion holds

Textmetadata
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.