Literature DB >> 12570584

Single-molecule kinetics with time-dependent rates: a generating function approach.

Frank L H Brown1.   

Abstract

A theoretical strategy for calculating the statistical properties of time series generated by single molecule measurements is presented. Emphasis is placed on the case where observable states interconvert via rate "constants" exhibiting stochastic time dependence. Such is the case for measurements of single fluorophores coupled to biomolecules undergoing conformational fluctuations [H. P. Lu, L. Xun, and X. S. Xie, Science 282, 1877 (1998)]]. In contrast to previous studies, we focus on the number of fluorophore blinking events occurring within a given amount of time as our stochastic variable. This formulation allows for an elementary analysis within the generating function framework.

Year:  2003        PMID: 12570584     DOI: 10.1103/PhysRevLett.90.028302

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  5 in total

1.  A stochastic analysis of first-order reaction networks.

Authors:  Chetan Gadgil; Chang Hyeong Lee; Hans G Othmer
Journal:  Bull Math Biol       Date:  2005-01-19       Impact factor: 1.758

2.  Simulated data sets for single molecule kinetics: some limitations and complications of data analysis.

Authors:  Jue Shi; Ari Gafni; Duncan Steel
Journal:  Eur Biophys J       Date:  2006-05-05       Impact factor: 1.733

3.  Probing single-molecule enzyme active-site conformational state intermittent coherence.

Authors:  Yufan He; Yue Li; Saptarshi Mukherjee; Yan Wu; Honggao Yan; H Peter Lu
Journal:  J Am Chem Soc       Date:  2011-08-19       Impact factor: 15.419

4.  Trajectory approach to two-state kinetics of single particles on sculpted energy landscapes.

Authors:  David Wu; Kingshuk Ghosh; Mandar Inamdar; Heun Jin Lee; Scott Fraser; Ken Dill; Rob Phillips
Journal:  Phys Rev Lett       Date:  2009-07-31       Impact factor: 9.161

5.  Model-independent counting of molecules in single-molecule localization microscopy.

Authors:  Gerhard Hummer; Franziska Fricke; Mike Heilemann
Journal:  Mol Biol Cell       Date:  2016-07-27       Impact factor: 4.138

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.