Using independent open-to-closed transitions to simplify aggregated Markov models of ion channel gating kinetics (Q24524075)

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English	Using independent open-to-closed transitions to simplify aggregated Markov models of ion channel gating kinetics	scientific article

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instance of

scholarly article

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title

Using independent open-to-closed transitions to simplify aggregated Markov models of ion channel gating kinetics (English)

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corrigendum / erratum

Correction: Using independent open-to-closed transitions to simplify aggregated Markov models of ion channel gating kinetics

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based on heuristic

inferred from abstract

author name string

William J Bruno

series ordinal

1

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Jin Yang

series ordinal

2

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John E Pearson

series ordinal

3

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language of work or name

English

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publication date

3 May 2005

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published in

Proceedings of the National Academy of Sciences of the United States of America

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volume

102

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issue

18

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page(s)

6326-31

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cites work

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Maximum likelihood estimation of aggregated Markov processes

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The most predictable criterion

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Testing for detailed balance (microscopic reversibility in ion channel gating

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Method-independent effect in testing for detailed balance in ion channel gating

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A model of IP3 receptor with a luminal calcium binding site: stochastic simulations and analysis

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Altered chloride ion channel kinetics associated with the ΔF508 cystic fibrosis mutation

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Identifiers

DOI

10.1073/PNAS.0409110102

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4363061

ADS bibcode

2005PNAS..102.6326B

0 references

OpenCitations bibliographic resource ID

4363061

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4363061

PMC publication ID

1088360

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4363061

PubMed publication ID

15843461

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

4363061

ResearchGate publication ID

7894980

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