DocumentCode
1092521
Title
Dynamic ion channel activation scheduling in patch clamp on a chip
Author
Krishnamurthy, Vikram
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume
3
Issue
3
fYear
2004
Firstpage
217
Lastpage
224
Abstract
In 2002, Fertig et al. made a remarkable invention: the first successful demonstration of a patch clamp on a chip-a planar quartz-based biological chip that contains up to several hundred ion channels. This patch-clamp chip can be used in massively parallel screens for ion channel activity, thereby providing a high-throughput screening tool for drug discovery efforts. In this paper, we propose computationally efficient dynamic stochastic scheduling algorithms for activating individual ion channels in the patch-clamp chip. By formulating the ion channel activation scheduling problem as a partially observed Markov decision process with a multiarmed bandit structure, near-optimal dynamic scheduling for activation of the individual channels is achieved to optimize the information gained from the patch-clamp chip. Numerical examples using state-of-the-art algorithms developed recently in artificial intelligence and operations research are presented to illustrate these dynamic ion channel (macromolecule) activation scheduling algorithms.
Keywords
Markov processes; bioelectric phenomena; biological techniques; biomembrane transport; physiological models; scheduling; Markov decision process; artificial intelligence; drug discovery efforts; dynamic ion channel activation scheduling; multiarmed bandit structure; near-optimal dynamic scheduling near-optimal dynamic scheduling; operations research; patch clamp chip; planar quartz-based biological chip; Biomembranes; Cells (biology); Clamps; Drugs; Dynamic scheduling; Laser beams; Laser modes; Laser transitions; Nanobioscience; Scheduling algorithm; Algorithms; Artificial Intelligence; Computer Simulation; Decision Support Techniques; Ion Channel Gating; Ion Channels; Markov Chains; Microchip Analytical Procedures; Models, Biological; Models, Statistical; Patch-Clamp Techniques;
fLanguage
English
Journal_Title
NanoBioscience, IEEE Transactions on
Publisher
ieee
ISSN
1536-1241
Type
jour
DOI
10.1109/TNB.2004.833681
Filename
1331347
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