Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2010-04-08
Biology
Quantitative Biology
Quantitative Methods
Scientific paper
We report new statistical time-series analysis tools providing significant improvements in the rapid, precision extraction of discrete state dynamics from large databases of experimental observations of molecular machines. By building physical knowledge and statistical innovations into analysis tools, we demonstrate new techniques for recovering discrete state transitions buried in highly correlated molecular noise. We demonstrate the effectiveness of our approach on simulated and real examples of step-like rotation of the bacterial flagellar motor and the F1-ATPase enzyme. We show that our method can clearly identify molecular steps, symmetries 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 major advance in the drive towards automated, precision, highthroughput studies of molecular machine dynamics. Modular, open-source software that implements these techniques is provided at http://www.eng.ox.ac.uk/samp/members/max/software/
Bai Fan
Berry Richard M.
Bilyard Thomas
Jones Nick S.
Little Max A.
No associations
LandOfFree
Steps and bumps: precision extraction of discrete states of molecular machines using physically-based, high-throughput time series analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Steps and bumps: precision extraction of discrete states of molecular machines using physically-based, high-throughput time series analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Steps and bumps: precision extraction of discrete states of molecular machines using physically-based, high-throughput time series analysis will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-713030