Evidence map›Paper›PMID 40968093›Full record

ArticleACS nano2025

Flexible Fitting to Infer Atomistic-Precision Models of Large-Amplitude Conformational Dynamics in Biomolecules from High-Speed Atomic Force Microscopy Imaging.

Romain Amyot, Osamu Miyashita, Xuan Wu, Kazusa Takeda, Noriyuki Kodera, Hiroki Konno, Florence Tama, Holger Flechsig

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Automating Model Building for SPM Images of Biomolecules Using MISO.Journal of chemical information and modeling · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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

8 authors.

Romain AmyotWPI Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kanazawa 920-1192, Japan.ORCID 0000-0002-3316-8462
Osamu MiyashitaRIKEN Center for Computational Science, Kobe, Hyogo 650-0047, Japan.ORCID 0000-0002-2530-5674
Xuan WuDepartment of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi 464-8601, Japan.
Kazusa TakedaGraduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan.
Noriyuki KoderaWPI Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kanazawa 920-1192, Japan.ORCID 0000-0003-4880-8423
Hiroki KonnoWPI Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kanazawa 920-1192, Japan.ORCID 0000-0002-1712-171X
Florence TamaRIKEN Center for Computational Science, Kobe, Hyogo 650-0047, Japan.ORCID 0000-0003-2021-5618
Holger FlechsigWPI Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, Kanazawa 920-1192, Japan.ORCID 0000-0003-4984-9294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-speed atomic force microscopy (HS-AFM) experiments allow direct observation of biomolecular dynamics at the single-molecule level, acquiring a large amount of topographic imaging data that visualizes changes in the molecular surface during functional activity over an extended period of time. Since images have no atomistic resolution, a major challenge has been to develop post-experimental computational methods to infer atomistic information from measurements. The recently developed NMFF-AFM flexible fitting method provides a computationally efficient approach promising to infer atomistic-precision models of conformational dynamics from resolution-limited AFM imaging data. We report the software integration of this method into the well-established BioAFMviewer platform and demonstrate its first applications to experimental HS-AFM imaging data. To facilitate applications, we developed a direct workflow from raw experimental AFM data to the visualization and analysis of fitting results. The presented applications to experimental data of a single protein domain, a protein complex, and a megadalton-sized protein filament demonstrate the versatility of NMFF-AFM modeling to reproduce large-amplitude conformational motions of biomolecular dynamics from HS-AFM imaging. As a first step toward automated large-scale analysis of AFM imaging data, we furthermore demonstrate reconstruction of an atomistic molecular movie of protein dynamics, involving large-amplitude conformational transitions, from a measured HS-AFM movie sequence. Implementation of flexible fitting within the stand-alone user-friendly interactive BioAFMviewer software provides the opportunity for a broad range of applications to facilitate the understanding of resolution-limited HS-AFM measurements.

Indexed as

Microscopy, Atomic ForceMolecular Dynamics SimulationProteinsModels, MolecularProtein ConformationSoftwareProteins3D atomistic reconstructionAFM flexible fittingAFM softwarehigh-speed atomic force microscopyprotein dynamics

Identifiers

PMID40968093
PMCPMC12490010

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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.