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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


Journal:
Physical review. E, Statistical, nonlinear, and soft matter physics
Volume:
85
Issue:
5 Pt 1
Pages:
051907
Publication date:
2012-05-01
DOI:
EISSN:
1550-2376
ISSN:
1539-3755
Source identifiers:
352547
Language:
English
Keywords:
Pubs id:
pubs:352547
UUID:
uuid:1b86b764-a5cf-4676-9018-90d1aaada2bf
Local pid:
pubs:352547
Deposit date:
2013-11-17

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