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  Improved Hidden Markov Models for Molecular Motors, Part 1: Basic Theory

Mullner, F. E., Syed, S., Selvin, P. R., & Sigworth, F. J. (2010). Improved Hidden Markov Models for Molecular Motors, Part 1: Basic Theory. Biophysical Journal, 99(11), 3684-3695.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0012-1F3B-E Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0012-1F3C-C
Genre: Zeitschriftenartikel

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Mullner, F. E.1, Autor           
Syed, S.2, Autor
Selvin, P. R.2, Autor
Sigworth, F. J.2, Autor
Affiliations:
1Department: Cellular and Systems Neurobiology / Bonhoeffer, MPI of Neurobiology, Max Planck Society, ou_1113545              
2[Mullner, Fiona E.; Sigworth, Fred J.] Yale Univ, Dept Cellular & Mol Physiol, New Haven, CT 06520 USA.; [Syed, Sheyum; Selvin, Paul R.] Univ Illinois, Dept Phys, Urbana, IL 61801 USA.; [Syed, Sheyum; Selvin, Paul R.] Univ Illinois, Ctr Phys Living Cells, Urbana, IL 61801 USA.; [Selvin, Paul R.] Univ Illinois, Ctr Biophys & Computat Biol, Urbana, IL 61801 USA., ou_persistent22              

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 Zusammenfassung: Hidden Markov models (HMMs) provide an excellent analysis of recordings with very poor signal/noise ratio made from systems such as ion channels which switch among a few states This method has also recently been used for modeling the kinetic rate constants of molecular motors where the observable variable the position steadily accumulates as a result of the motor s reaction cycle We present a new HMM implementation for obtaining the chemical kinetic model of a molecular motor's reaction cycle called the variable stepsize HMM in which the quantized position variable is represented by a large number of states of the Markov model Unlike previous methods the model allows for arbitrary distributions of step sizes and allows these distributions to be estimated The result is a robust algorithm that requires little or no user input for characterizing the stepping kinetics of molecular motors as recorded by optical techniques

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Sprache(n): eng - English
 Datum: 2010-12-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 522623
ISI: 000285033800021
 Art des Abschluß: -

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Titel: Biophysical Journal
  Alternativer Titel : Biophys. J.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: CAMBRIDGE : CELL PRESS
Seiten: - Band / Heft: 99 (11) Artikelnummer: - Start- / Endseite: 3684 - 3695 Identifikator: ISSN: 0006-3495