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Modeling ion channel dynamics through reflected stochastic differential equations.

Abstract:

Ion channels are membrane proteins that open and close at random and play a vital role in the electrical dynamics of excitable cells. The stochastic nature of the conformational changes these proteins undergo can be significant, however current stochastic modeling methodologies limit the ability to study such systems. Discrete-state Markov chain models are seen as the "gold standard," but are computationally intensive, restricting investigation of stochastic effects to the single-cell level. ...

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Publisher copy:
10.1103/physreve.85.051907

Authors


Dangerfield, CE More by this author
Burrage, K More by this author
Journal:
Physical review. E, Statistical, nonlinear, and soft matter physics
Volume:
85
Issue:
5 Pt 1
Pages:
051907
Publication date:
2012-05-05
DOI:
EISSN:
1550-2376
ISSN:
1539-3755
URN:
uuid:1b86b764-a5cf-4676-9018-90d1aaada2bf
Source identifiers:
352547
Local pid:
pubs:352547

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