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EPSRC Reference: GR/R97368/01
Title: Pseudo-likelihood statistical inference from bursts of single ion channel openings
Principal Investigator: Ball, Professor FG
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Mathematical Sciences
Organisation: University of Nottingham
Scheme: Standard Research (Pre-FEC)
Starts: 01 May 2002 Ends: 30 November 2002 Value (£): 7,565
EPSRC Research Topic Classifications:
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Pharmaceuticals and Biotechnology No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
A single ion channel is usually modelled by a finite state space continuous time Markov chain. The state space is partitioned into conductance clas and it is possible to observe only which conductance class the channel is in. Short sojourns of the channel in any conductance class may be undetected. This phenomenon, which is known as time interval omission, hampers inferences concerning ion channel gating mechanisms from observed single channel recordings.In many single channel experiments, it has been observed that single channel recordings show periods of repetitive open channel activity, known a bursts, which are noticeably separated from each other by periods of inactivity. The aim of the proposed research is (i) to develop pseudo-likelihoo based methods for estimating single channel gating parameters, which are based on properties of bursts (such as total charge transfer) and are rot to time interval omission; and (ii) to apply these methods to MscL (mechanosensitive channel of large conductance) recordings.
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Organisation Website: http://www.nottingham.ac.uk