Evidence map›Paper›PMID 42182269›Full record

ArticlebioRxiv : the preprint server for biology2026

Heterogeneous reconstruction algorithms for cryoEM achieve limited particle classification accuracy on real benchmark datasets.

Laurel F Kinman, Andrew V Grassetti, Maria V Carreira, Joseph H Davis

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Laurel F KinmanDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA.ORCID 0000-0001-6822-9352
Andrew V GrassettiDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA.ORCID 0000-0002-8874-5992
Maria V CarreiraDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA.ORCID 0000-0002-1404-2514
Joseph H DavisDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA.ORCID 0000-0002-8858-8907

Funding

ChimeraX -- Next Generation Visualization and Analysis Software for Multiscale ModelingR01GM129325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2018 to 2025
$5.2M
Tools to determine and analyze the structures of molecular machines in motionR01GM144542 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Joseph Davis · 2022 to 2026
$1.6M
NIGMS NIH HHS R01 GM129325NIGMS NIH HHS R01 GM144542
6 · The paper itself

Abstract

The emergence of single-particle cryoEM as a powerful method for structure determination has in large part been fueled by its ability to resolve both single static structures and complex conformational landscapes. Indeed, modern approaches to the heterogeneous reconstruction task can resolve 100s-1,000s of different maps from a single cryoEM dataset. How accurate these algorithms are, however, has proven difficult to rigorously assess, due to a lack of suitable benchmark datasets containing both realistic noise features and ground-truth labels. To address this obstacle, we recently developed a series of benchmark datasets that leverage the targeting power of Cas9 and the programmable heterogeneity of DNA to newly offer access to ground-truth per-particle structural labels in real data. Here, we challenged two popular heterogeneous reconstruction algorithms with mixed particle stacks resampled

Identifiers

PMID42182269
PMCPMC13192692

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.