help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Originally published as Biophys J. BioFAST on March 11, 2005.
doi:10.1529/biophysj.104.055905
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplement
Right arrow All Versions of this Article:
biophysj.104.055905v1
88/6/3780    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Flomenbom, O.
Right arrow Articles by Szabo, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Flomenbom, O.
Right arrow Articles by Szabo, A.
Biophysical Journal 88:3780-3783 (2005)
© 2005 The Biophysical Society

What Can One Learn from Two-State Single-Molecule Trajectories?

Ophir Flomenbom * {dagger}, Joseph Klafter * and Attila Szabo {dagger}

* School of Chemistry, Raymond & Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel; and {dagger} Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892

Correspondence: Address reprint requests to Ophir Flomenbom, E-mail: flomenbo{at}post.tau.ac.il.

A time trajectory of an observable that fluctuates between two values (say, on and off), stemming from some unknown multisubstate kinetic scheme, is the output of many single-molecule experiments. Here we show that when all successive waiting times along the trajectory are uncorrelated the on and the off waiting time probability density functions contain all the information. By relating the lack of correlation in the trajectory to the topology of kinetic schemes, we can immediately specify those kinetic schemes that are equally consistent with experiment, and cannot be differentiated by any sophisticated analyses of the trajectory. Correlated trajectories, however, contain additional information about the underlying kinetic scheme, and we consider the strategy that one should use to extract it.




This article has been cited by other articles:


Home page
 Proc. Natl. Acad. Sci. USAHome page
C.-B. Li, H. Yang, and T. Komatsuzaki
Multiscale complex network of protein conformational fluctuations in single-molecule time series
PNAS, January 15, 2008; 105(2): 536 - 541.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
A. Baba and T. Komatsuzaki
Construction of effective free energy landscape from single-molecule time series
PNAS, December 4, 2007; 104(49): 19297 - 19302.
[Abstract] [Full Text] [PDF]

Home page
 Biophys. JHome page
Y. Zhou and X. Zhuang
Robust Reconstruction of the Rate Constant Distribution Using the Phase Function Method
Biophys. J., December 1, 2006; 91(11): 4045 - 4053.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
O. Flomenbom and R. J. Silbey
Utilizing the information content in two-state trajectories
PNAS, July 18, 2006; 103(29): 10907 - 10910.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2005 by the Biophysical Society.