Development of hidden Markov modeling method for molecular orientations and structure estimation from high-speed atomic force microscopy time-series images.

ABSTRACT: High-speed atomic force microscopy (HS-AFM) is a powerful technique for capturing the time-resolved behavior of biomolecules. However, structural information in HS-AFM images is limited to the surface geometry of a sample molecule. Inferring latent three-dimensional structures from the surface geometry is thus important for getting more insights into conformational dynamics of a target biomolecule. Existing methods for estimating the structures are based on the rigid-body fitting of candidate structures to each frame of HS-AFM images. Here, we extend the existing frame-by-frame rigid-body fitting analysis to multiple frames to exploit orientational correlations of a sample molecule between adjacent frames in HS-AFM data due to the interaction with the stage. In the method, we treat HS-AFM

SUBMITTER: Ogane T 

PROVIDER: S-EPMC9833559 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature