Steps and bumps: precision extraction of discrete states of molecular machines

Max A. Little, Bradley C. Steel, Fan Bai, Yoshiyuki Sowa, Thomas Bilyard, David M. Mueller, Richard M. Berry, Nick S. Jones

Research output: Contribution to journalArticle

Abstract

We report statistical time-series analysis tools providing improvements in the rapid, precision extraction of discrete state dynamics from time traces of experimental observations of molecular machines. By building physical knowledge and statistical innovations into analysis tools, we provide techniques for estimating discrete state transitions buried in highly correlated molecular noise. We demonstrate the effectiveness of our approach on simulated and real examples of steplike rotation of the bacterial flagellar motor and the F1-ATPase enzyme. We show that our method can clearly identify molecular steps, periodicities and cascaded processes that are too weak for existing algorithms to detect, and can do so much faster than existing algorithms. Our techniques represent a step in the direction toward automated analysis of high-sample-rate, molecular-machine dynamics. Modular, open-source software that implements these techniques is provided.
Original languageEnglish
Pages (from-to)477-485
Number of pages9
JournalBiophysical Journal
Volume101
Issue number2
DOIs
Publication statusPublished - 20 Jul 2011

Fingerprint Dive into the research topics of 'Steps and bumps: precision extraction of discrete states of molecular machines'. Together they form a unique fingerprint.

  • Cite this

    Little, M. A., Steel, B. C., Bai, F., Sowa, Y., Bilyard, T., Mueller, D. M., Berry, R. M., & Jones, N. S. (2011). Steps and bumps: precision extraction of discrete states of molecular machines. Biophysical Journal, 101(2), 477-485. https://doi.org/10.1016/j.bpj.2011.05.070