Quantifying multiscale noise sources in single-molecule time series.

ABSTRACT: When analyzing single-molecule data, a low-dimensional set of system observables typically serves as the observational data. We calibrate stochastic dynamical models from time series that record such observables. Numerical techniques for quantifying noise from multiple time scales in a single trajectory, including experimental instrument and inherent thermal noise, are demonstrated. The techniques are applied to study time series coming from both simulations and experiments associated with the nonequilibrium mechanical unfolding of titin's I27 domain. The estimated models can be used for several purposes, (1) detect dynamical signatures of "rare events" by analyzing the effective diffusion and force as a function of the monitored observable, (2) quantify the influence that conformational d

SUBMITTER: Calderon CP 

PROVIDER: S-EPMC2682735 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature