Evidence map›Paper›PMID 36859493›Full record

ArticleNature communications2023

Automatic and accurate ligand structure determination guided by cryo-electron microscopy maps.

Andrew Muenks, Samantha Zepeda, Guangfeng Zhou, David Veesler, Frank DiMaio

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. MarinePharmaceuticals (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Preparing for successful protein crystallization experiments.Acta crystallographica. Section F, Structural biology communications · 2025
    Article
  7. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Ligand Identification in CryoEM and X-ray Maps Using Deep Learning.bioRxiv : the preprint server for biology · 2024
    Article
  15. The conserved HIV-1 spacer peptide 2 triggers matrix lattice maturation.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. 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

5 authors.

Andrew MuenksDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-1514-7991
Samantha ZepedaDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0003-0005-9793
Guangfeng ZhouDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0003-2728-1917
David VeeslerDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-6019-8675
Frank DiMaioDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA. dimaio@uw.edu.

Funding

Centers for Research on Structural Biology of Infectious Diseases: Universal Influenza Vaccine Research75N93022C00036 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI STAKER, BART · 2022 to 2025
$21.7M
TRAINING IN MOLECULAR BIOPHYSICST32GM008268 · NIGMS · UNIVERSITY OF WASHINGTON · PI KOLLMAN, JUSTIN M, ZHENG, NING · 1988 to 2023
$8.6M
Unraveling the bat humoral immune response against zoonotic viruses to guide the design of next-generation therapeuticsDP1AI158186 · NIAID · UNIVERSITY OF WASHINGTON · PI VEESLER, DAVID · 2020 to 2024
$5.4M
Protein structure determination from low-resolution experimental dataR01GM123089 · NIGMS · UNIVERSITY OF WASHINGTON · PI DIMAIO, FRANK P · 2017 to 2025
$2.6M
Understanding spillover potential of European and African bat sarbecovirusesF31AI174573 · NIAID · UNIVERSITY OF WASHINGTON · PI ZEPEDA, SAMANTHA KATHLEEN · 2023 to 2024
$88k
NIAID NIH HHS 75N93022C00036NIAID NIH HHS DP1 AI158186NIAID NIH HHS F31 AI174573NIGMS NIH HHS R01 GM123089NIGMS NIH HHS T32 GM008268
6 · The paper itself

Abstract

Advances in cryo-electron microscopy (cryoEM) and deep-learning guided protein structure prediction have expedited structural studies of protein complexes. However, methods for accurately determining ligand conformations are lacking. In this manuscript, we develop EMERALD, a tool for automatically determining ligand structures guided by medium-resolution cryoEM density. We show this method is robust at predicting ligands along with surrounding side chains in maps as low as 4.5 Å local resolution. Combining this with a measure of placement confidence and running on all protein/ligand structures in the EMDB, we show that 57% of ligands replicate the deposited model, 16% confidently find alternate conformations, 22% have ambiguous density where multiple conformations might be present, and 5% are incorrectly placed. For five cases where our approach finds an alternate conformation with high confidence, high-resolution crystal structures validate our placement. EMERALD and the resulting analysis should prove critical in using cryoEM to solve protein-ligand complexes.

Indexed as

Mental ProcessesRunningCryoelectron MicroscopyLigandsLigands

Identifiers

PMID36859493
PMCPMC9976687

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.