Evidence map›Paper›PMID 41415436›Full record

ArticlebioRxiv : the preprint server for biology2026

Comparing Multislice Projections of MD Simulations with CryoEM Exposes Structural Prediction Errors.

Arshad Mohammed, James Lincoff, Andrew Natale, Colin Ophus, Michael Grabe, Adam Frost, Frank R Moss

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

5 · Who and what money

Authors and funding

7 authors.

Arshad MohammedBay Area Institute of Science, Altos Labs, Redwood City, CA 94065, USA.ORCID 0000-0003-4430-7592
James LincoffDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-3090-1240
Andrew NataleBay Area Institute of Science, Altos Labs, Redwood City, CA 94065, USA.ORCID 0000-0002-6320-0216
Colin OphusNational Center for Electron Microscopy, Lawrence Berkeley National Lab, Berkeley, CA 94720, USA.ORCID 0000-0003-2348-8558
Michael GrabeDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-3509-5997
Adam FrostBay Area Institute of Science, Altos Labs, Redwood City, CA 94065, USA.ORCID 0000-0003-4323-3333
Frank R MossBay Area Institute of Science, Altos Labs, Redwood City, CA 94065, USA.ORCID 0000-0002-6149-6447

Funding

X-ray Cryst. CoreP50GM082545 · NIGMS · UNIVERSITY OF UTAH · PI SUNDQUIST, WESLEY I. · 2007 to 2018
$51.1M
Linux cluster for near atomic resolution single particle cryo-EMS10OD020054 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, YIFAN · 2015 to 2015
$456k
High Performance Computer for Computational BiosciencesS10OD021596 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2016 to 2016
$443k
NIGMS NIH HHS P50 GM082545NIH HHS S10 OD020054NIH HHS S10 OD021596
6 · The paper itself

Abstract

Cryo-electron microscopy (cryoEM) is a powerful tool for atomic- and molecular-resolution structure determination, while molecular dynamics (MD) simulations are similarly powerful tools for predicting molecular trajectories. Given the challenges in estimating biomolecule dynamics with cryoEM alone, MD simulations are employed to forecast molecular motions and to interpret cryoEM reconstructions. Few methods, however, can evaluate MD predictions directly. Here, we use multislice wave propagation to project sampled snapshots of MD trajectories, either coarse-grained (CG) or all-atom (AA), into simulated cryoEM 3D reconstructions. We compared simulated and experimental images of low- and high-curvature membranes to show that MD simulations qualitatively reflect the fluidity and thus the contrast of biological membranes observed by cryoEM. MD simulations also correctly predicted bilayer dimensions for single component flat bilayers observed in cryoEM images. However, Martini3 CG-MD simulations failed to predict changes in membrane thickness induced by high curvature and with heterogeneous lipid compositions. We pinpointed the misbehavior of polyunsaturated lipid tails and cholesterol in Martini3 simulations as the main error sources contributing to inaccurate bilayer thicknesses. Our comparisons also explain membrane structure discrepancies between cryoEM and small angle X-ray scattering (SAXS). Further testing of MD predictions by direct comparisons between simulated and experimental cryoEM images should lead to the development of more accurate MD force fields.

Identifiers

PMID41415436
PMCPMC12710634

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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.