Evidence map›Paper›PMID 39789967›Full record

ReviewExpert opinion on drug discovery2025

Advances in cryo-electron microscopy (cryoEM) for structure-based drug discovery.

Pawel Rubach, Karolina A Majorek, Michal Gucwa, Krzysztof Murzyn, Alexander Wlodawer, Wladek Minor

Abstract readReview
In one paragraph

Review in Expert opinion on drug discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Frontiers in bioinformatics · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. 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

6 authors.

Pawel RubachDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-5487-609X
Karolina A MajorekDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-0973-9085
Michal GucwaDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-0591-9713
Krzysztof MurzynDepartment of Computational Biophysics and Bioinformatics, Jagiellonian University, Krakow, Poland.ORCID 0000-0002-7064-9900
Alexander WlodawerCenter for Structural Biology, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA.ORCID 0000-0002-5510-9703
Wladek MinorDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-7075-7090

Funding

PROTEIN STRUCTUREZ01BC010348 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WLODAWER, ALEXANDER · 2000 to 2008
$3.2M
Intramural NIH HHS Z01 BC010348
6 · The paper itself

Abstract

introductionMacromolecular X-ray crystallography (XRC), nuclear magnetic resonance (NMR), and cryo-electron microscopy (cryoEM) are the primary techniques for determining atomic-level, three-dimensional structures of macromolecules essential for drug discovery. With advancements in artificial intelligence (AI) and cryoEM, the Protein Data Bank (PDB) is solidifying its role as a key resource for 3D macromolecular structures. These developments underscore the growing need for enhanced quality metrics and robust validation standards for experimental structures. AREAS COVERED: This review examines recent advancements in cryoEM for drug discovery, analyzing structure quality metrics, resolution improvements, metal-ligand and water molecule identification, and refinement software. It compares cryoEM with other techniques like XRC and NMR, emphasizing the global expansion of cryoEM facilities and its increasing significance in drug discovery. EXPERT OPINION: CryoEM is revolutionizing structural biology and drug discovery, particularly for large, complex structures in induced proximity and antibody-antigen interactions. It supports vaccine design, CAR T-cell optimization, gene editing, and gene therapy. Combined with AI, cryoEM enhances particle identification and 3D structure determination. With recent breakthroughs, cryoEM is emerging as a crucial tool in drug discovery, driving the development of new, effective therapies.

Indexed as

Cryoelectron MicroscopyDrug DiscoveryAnimalsArtificial IntelligenceCrystallography, X-RayDatabases, ProteinHumansMacromolecular SubstancesMagnetic Resonance SpectroscopySoftwareMacromolecular Substancesartificial intelligencecryo-electron microscopydrug discoverymachine learningquality metricstructure validation

Identifiers

PMID39789967
PMCPMC12403223

What OpenQuestion holds

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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.