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Analyzing single‐molecule manipulation experiments
Author(s) -
Calderon Christopher P.,
Harris Nolan C.,
Kiang ChingHwa,
Cox Dennis D.
Publication year - 2009
Publication title -
journal of molecular recognition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 79
eISSN - 1099-1352
pISSN - 0952-3499
DOI - 10.1002/jmr.959
Subject(s) - molecule , computer science , tandem , focus (optics) , domain (mathematical analysis) , series (stratigraphy) , biological system , noise (video) , nanotechnology , algorithm , chemistry , artificial intelligence , materials science , physics , mathematics , organic chemistry , mathematical analysis , paleontology , image (mathematics) , optics , composite material , biology
Single‐molecule manipulation studies can provide quantitative information about the physical properties of complex biological molecules without ensemble artifacts obscuring the measurements. We demonstrate computational techniques which aim at more fully utilizing the wealth of information contained in noisy experimental time series. The “noise” comes from multiple sources e.g., inherent thermal motion, instrument measurement error, etc. The primary focus of this paper is a methodology that uses time domain based methods to extract the effective molecular friction from single‐molecule pulling data. We studied molecules composed of eight tandem repeat titin I27 domains, but the modeling approaches have applicability to other single‐molecule mechanical studies. The merits and challenges associated with applying such a computational approach to existing single‐molecule manipulation data are also discussed. Copyright © 2009 John Wiley & Sons, Ltd.