Ontology highlight
ABSTRACT:
SUBMITTER: Mullner FE
PROVIDER: S-EPMC2998602 | biostudies-literature | 2010 Dec
REPOSITORIES: biostudies-literature
Müllner Fiona E FE Syed Sheyum S Selvin Paul R PR Sigworth Fred J FJ
Biophysical journal 20101201 11
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 ...[more]