Delay chemical master equation: direct and closed-form solutions
The stochastic simulation algorithm (SSA) describes the time evolution of a discrete nonlinear Markov process. This stochastic process has a probability density function that is the solution of a differential equation, commonly known as the chemical master equation (CME) or forward-Kolmogorov equati...
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| Published in: | Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences Vol. 471; no. 2179; p. 20150049 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
08.07.2015
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| Subjects: | |
| ISSN: | 1364-5021 |
| Online Access: | Get more information |
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| Summary: | The stochastic simulation algorithm (SSA) describes the time evolution of a discrete nonlinear Markov process. This stochastic process has a probability density function that is the solution of a differential equation, commonly known as the chemical master equation (CME) or forward-Kolmogorov equation. In the same way that the CME gives rise to the SSA, and trajectories of the latter are exact with respect to the former, trajectories obtained from a delay SSA are exact representations of the underlying delay CME (DCME). However, in contrast to the CME, no closed-form solutions have so far been derived for any kind of DCME. In this paper, we describe for the first time direct and closed solutions of the DCME for simple reaction schemes, such as a single-delayed unimolecular reaction as well as chemical reactions for transcription and translation with delayed mRNA maturation. We also discuss the conditions that have to be met such that such solutions can be derived. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1364-5021 |
| DOI: | 10.1098/rspa.2015.0049 |