Evidence map›Paper›PMID 41703935›Full record

ArticleBiophysical journal2026

Comparing multislice projections of MD simulations with cryo-EM exposes structural prediction errors.

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

Abstract readComparative Study
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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, California; Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California.
James LincoffDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California; Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California.
Andrew NataleBay Area Institute of Science, Altos Labs, Redwood City, California.
Colin OphusDepartment of Materials Science and Engineering, Stanford University, Stanford, California.
Michael GrabeDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California; Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California.
Adam FrostBay Area Institute of Science, Altos Labs, Redwood City, California; Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California. Electronic address: afrost@altoslabs.com.
Frank R MossBay Area Institute of Science, Altos Labs, Redwood City, California; Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California; Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, California. Electronic address: fmoss@altoslabs.com.

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 (cryo-EM) is a powerful tool for atomic- and molecular-resolution structure determination, whereas molecular dynamics (MD) simulations are similarly powerful tools for predicting molecular trajectories. Given the challenges in estimating biomolecule dynamics with cryo-EM alone, MD simulations are employed to forecast molecular motions and to interpret cryo-EM 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 or all atom, into simulated cryo-EM 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 cryo-EM. MD simulations also correctly predicted bilayer dimensions for single-component flat bilayers observed in cryo-EM images. However, Martini3 coarse-grained 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 cryo-EM and small angle x-ray scattering. Further testing of MD predictions by direct comparisons between simulated and experimental cryo-EM images should lead to the development of more accurate MD force fields.

Indexed as

Cryoelectron MicroscopyMolecular Dynamics SimulationLipid BilayersLipid Bilayers

Identifiers

PMID41703935
PMCPMC13105790

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.