dc.creator | Innocentini, Guilherme C. P. | |
dc.creator | Forger, Michael | |
dc.creator | Radulescu, Ovidiu | |
dc.creator | Antoneli, Fernando [UNIFESP] | |
dc.date.accessioned | 2019-01-21T10:30:14Z | |
dc.date.accessioned | 2022-10-07T20:59:04Z | |
dc.date.available | 2019-01-21T10:30:14Z | |
dc.date.available | 2022-10-07T20:59:04Z | |
dc.date.created | 2019-01-21T10:30:14Z | |
dc.date.issued | 2016 | |
dc.identifier | Bulletin Of Mathematical Biology. New york, v. 78, n. 1, p. 110-131, 2016. | |
dc.identifier | 0092-8240 | |
dc.identifier | http://repositorio.unifesp.br/handle/11600/49648 | |
dc.identifier | 10.1007/s11538-015-0131-3 | |
dc.identifier | WOS:000368695500006 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/4025667 | |
dc.description.abstract | In this manuscript, we propose a mathematical framework to couple transcription and translation in which mRNA production is described by a set of master equations, while the dynamics of protein density is governed by a random differential equation. The coupling between the two processes is given by a stochastic perturbation whose statistics satisfies the master equations. In this approach, from the knowledge of the analytical time-dependent distribution of mRNA number, we are able to calculate the dynamics of the probability density of the protein population. | |
dc.language | eng | |
dc.publisher | Springer | |
dc.relation | Bulletin Of Mathematical Biology | |
dc.rights | Acesso restrito | |
dc.subject | Gene Expression | |
dc.subject | Stochasticity | |
dc.subject | Exact Solutions | |
dc.subject | DynamicsEukaryotic Gene-Expression | |
dc.subject | Noise | |
dc.subject | Time | |
dc.subject | Networks | |
dc.subject | Molecule | |
dc.subject | Cells | |
dc.title | Protein synthesis driven by dynamical stochastic transcription | |
dc.type | Artigo | |