Paper
10 February 2007 Detecting substeps in the rotary motors of FoF1-ATP synthase by Hidden Markov Models
N. Zarrabi, M. G. Düser, R. Reuter, S. D. Dunn, J. Wrachtrup, M. Börsch
Author Affiliations +
Abstract
FoF1-ATP synthase is the enzyme that provides the 'chemical energy currency' adenosine triphosphate, ATP, for living cells. The formation of ATP is accomplished by a stepwise internal rotation of subunits within the enzyme. We monitor subunit rotation by a single-molecule fluorescence resonance energy transfer (FRET) approach using two fluorophores specifically attached to the enzyme. To identify the stepsize of rotary movements by the motors of ATP synthase we simulated the confocal single-molecule FRET data of freely diffusing enzymes and developed a step finder algorithm based on 'Hidden Markov Models' (HMM). The HMM is able to find the proximity factors, P, for a three-level system and for a five-level system, and to unravel the dwell times of the simulated rotary movements. To identify the number of hidden states in the system, a likelihood parameter is calculated for the series of one-state to eight-state HMMs applied to each set of simulated data. Thereby, the basic prerequisites for the experimental single-molecule FRET data are defined that allow for discrimination between a 120o stepping mode or a 36o substep rotation mode for the proton-driven Fo motor of ATP synthase.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Zarrabi, M. G. Düser, R. Reuter, S. D. Dunn, J. Wrachtrup, and M. Börsch "Detecting substeps in the rotary motors of FoF1-ATP synthase by Hidden Markov Models", Proc. SPIE 6444, Ultrasensitive and Single-Molecule Detection Technologies II, 64440E (10 February 2007); https://doi.org/10.1117/12.701001
Lens.org Logo
CITATIONS
Cited by 25 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fluorescence resonance energy transfer

Acquisition tracking and pointing

Monte Carlo methods

Computer simulations

Confocal microscopy

Particles

Luminescence

Back to Top