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dc.contributor.authorLi, Xin
Kolomeisky, Anatoly B.
dc.date.accessioned 2017-05-04T18:16:35Z
dc.date.available 2017-05-04T18:16:35Z
dc.date.issued 2013
dc.identifier.citation Li, Xin and Kolomeisky, Anatoly B.. "Mechanisms and topology determination of complex chemical and biological network systems from first-passage theoretical approach." The Journal of Chemical Physics, 139, no. 14 (2013) American Institute of Physics: https://doi.org/10.1063/1.4824392.
dc.identifier.urihttps://hdl.handle.net/1911/94175
dc.description.abstract The majority of chemical and biological processes can be viewed as complex networks of states connected by dynamic transitions. It is fundamentally important to determine the structure of these networks in order to fully understand the mechanisms of underlying processes. A new theoretical method of obtaining topologies and dynamic properties of complex networks, which utilizes a first-passage analysis, is developed. Our approach is based on a hypothesis that full temporal distributions of events between two arbitrary states contain full information on number of intermediate states, pathways, and transitions that lie between initial and final states. Several types of network systems are analyzed analytically and numerically. It is found that the approach is successful in determining structural and dynamic properties, providing a direct way of getting topology and mechanisms of general chemical network systems. The application of the method is illustrated on two examples of experimental studies of motor protein systems.
dc.language.iso eng
dc.publisher American Institute of Physics
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title Mechanisms and topology determination of complex chemical and biological network systems from first-passage theoretical approach
dc.type Journal article
dc.citation.journalTitle The Journal of Chemical Physics
dc.contributor.org Center for Theoretical Biological Physics
dc.citation.volumeNumber 139
dc.citation.issueNumber 14
dc.type.dcmi Text
dc.identifier.doihttps://doi.org/10.1063/1.4824392
dc.identifier.pmcid PMC3808428
dc.type.publication publisher version
dc.citation.articleNumber 144106


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