Flexible Fitting to Infer Atomistic-Precision Models of Large-Amplitude Conformational Dynamics in Biomolecules from High-Speed Atomic Force Microscopy Imaging
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.
Authors
- Osamu Miyashita (ORCID: https://orcid.org/0000-0002-2530-5674)
- Noriyuki Kodera (ORCID: https://orcid.org/0000-0003-4880-8423)
- Holger Flechsig (ORCID: https://orcid.org/0000-0003-4984-9294)
- Romain Amyot (ORCID: https://orcid.org/0000-0002-3316-8462)
- Kazusa Takeda
- Hiroki Konno (ORCID: https://orcid.org/0000-0002-1712-171X)
- Florence Tama (ORCID: https://orcid.org/0000-0003-2021-5618)
- Xuan Wu
Institutions
- Kanazawa University (JP)
- Laboratoire de Chémo-biologie synthétique et thérapeutique (FR)
- Life Science Institute (JP)
- RIKEN Center for Computational Science (JP)
- Nagoya University (JP)
Publication Details
- Journal
- ACS Nano
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1021/acsnano.5c10073
- Citations
- 5
- Primary Topic
- Force Microscopy Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 6.23