DocumentCode
532283
Title
Notice of Retraction
Identifying kinetic constants of ion channel of hierarchical type
Author
Xuyan Xiang ; Yingchun Deng ; Xiangqun Yang ; Jianbin Li
Author_Institution
Coll. of Math. & Comput. Sci., Hunan Univ. of Arts & Sci., Changde, China
Volume
3
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
We have developed a totally different approach from Maximum likelihood widely employed to estimate the kinetic constants of single-ion channels of hierarchical mechanism. It is found that all kinetic constants are uniquely determined by the probability density functions of their lifetime and death-time of the middle states. An algorithm to calculate all kinetic constants is provided, which employs the intrinsic properties of the Markov process. Once we have them, all subsequent calculations are then automatic and exact.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
We have developed a totally different approach from Maximum likelihood widely employed to estimate the kinetic constants of single-ion channels of hierarchical mechanism. It is found that all kinetic constants are uniquely determined by the probability density functions of their lifetime and death-time of the middle states. An algorithm to calculate all kinetic constants is provided, which employs the intrinsic properties of the Markov process. Once we have them, all subsequent calculations are then automatic and exact.
Keywords
Markov processes; biomembrane transport; probability; Markov process; hierarchical type; ion channel; kinetic constant; probability density function; Nickel; Presses; Markov chain on hierarchical type; Single-ion channel; kinetic constants;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5620273
Filename
5620273
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