High-speed atomic force microscopy (HS-AFM) is the only experimental technique to directly watch proteins in dynamic action. However, as a surface scanning technique with limited spatial resolution, HS-AFM will inevitably provide insufficient information for detailed atomistic understanding of biomolecular function. Despite previous efforts in computational modeling attempting to overcome such limitations, successful applications to retrieve atomistic-level information from measurements are yet practically absent.
A research team led by Holger Flechsig (WPI-NanoLSI, Kanazawa University) and Florence Tama (WPI-ITbM, Graduate School of Science at Nagoya University, and R-CCS) now presents a computational framework and its software implementation allowing to infer 3D atomistic models of dynamic protein conformations from AFM topography imaging. The scientists use a new computationally efficient flexible fitting method developed by Tama’s group, which models conformational dynamics of known static protein structure to identify atomistic models that best fit experimental AFM images. In their work, they first implement this method into the well-established BioAFMviewer software platform maintained by Flechsig’s group to provide a direct workflow for applications to measured AFM imaging data.
The presented analysis of HS-AFM data for different proteins obtained by experimental collaborators evidence that flexible fitting can infer atomistic models including large-amplitude motions to significantly improve understanding of functional conformational dynamics from resolution-limited measurements. Computational efficiency of flexible fitting within the BioAFMviewer even allows applications to large protein assemblies, as the authors show for the example of a 4 megadalton actin filament consisting of about 280,000 atoms. A remarkable achievement is the demonstration of an atomistic molecular movie of protein dynamics, involving functional conformational transitions, reconstructed from HS-AFM topographic movie data.
The unique software implementation of computationally efficient flexible fitting, integrating available structural data and molecular modeling with experiments, opens the opportunity for a broad range of applications to fully exploit the explanatory power of HS-AFM by large-scale analysis of single molecule imaging data toward better understanding biological processes at the nanoscale.
This work is a collaborative effort of scientists from two WPI centers in Japan, the Nano Life Science Institute (WPI-NanoLSI) at Kanazawa University, and the Institute of Transformative Bio-Molecules (WPI-ITbM) at Nagoya University. Combining the expertise of protein dynamics modeling and computational science with Nanometrology experiments, leading contributions which further advance the interdisciplinary field of nanoscale biology are achieved.
Read the original article on Kanazawa University.
