Evidence map›Paper›PMID 42523438›Full record

ArticlebioRxiv : the preprint server for biology2026

Best for the Eye, Not for the Algorithm: Anisotropy in Fitting Atomic Models in Cryo-EM.

Roey Yadgar, Roy R Lederman

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

2 authors.

Roey YadgarDepartment of Applied Mathematics, Yale University, New Haven, CT, USA.ORCID 0009-0008-0177-8160
Roy R LedermanDepartment of Statistics and Data Science, Yale University, New Haven, CT, USA.ORCID 0000-0002-5080-4483

Funding

Frontiers in measuring and simulating molecular structures and processes.R35GM157226 · NIGMS · YALE UNIVERSITY · PI Roy Rabinu Lederman · 2025 to 2026
$763k
NIGMS NIH HHS R35 GM157226
6 · The paper itself

Abstract

Most atomic model refinement methods in cryo-EM fit models to the reconstructed density map and effectively treat Fourier voxels as equally reliable. However, the uncertainty in the estimation of Fourier coefficients is highly anisotropic, primarily due to the common variability in SNR in different frequency shells and the distribution of particle images across viewing directions. First-principles arguments suggest that atomic models should be fitted to particle images rather than volumes; this strategy may be computationally demanding. We show that under certain modeling choices, fitting atomic models to

Indexed as

anisotropycryo-EMdirectional FSCflexible fittinghalf-mapsmodel refinement

Identifiers

PMID42523438
PMCPMC13405184

What OpenQuestion holds

Textmetadata
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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.