| Texto completo | |
| Autor(es): |
Innocentini, Guilherme C. P.
[1, 2]
;
Forger, Michael
[1]
;
Radulescu, Ovidiu
[2]
;
Antoneli, Fernando
[3, 4]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Inst Matemat & Estat, Dept Matemat Aplicada, Rua Matao 1010, Cidade Univ, BR-05508090 Sao Paulo, SP - Brazil
[2] Univ Montpellier 2, UMR 5235, DIMNP, Pl E Bataillon, Bat 24, F-34095 Montpellier 5 - France
[3] Univ Fed Sao Paulo, Escola Paulista Med, Lab Genom Evolut & Biocomplexidade, Rua Pedro de Toledo 669, 4th Floor, BR-04039032 Sao Paulo, SP - Brazil
[4] Univ Fed Sao Paulo, Escola Paulista Med, DIS, Rua Pedro de Toledo 669, 4th Floor, BR-04039032 Sao Paulo, SP - Brazil
Número total de Afiliações: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Bulletin of Mathematical Biology; v. 78, n. 1, p. 110-131, JAN 2016. |
| Citações Web of Science: | 4 |
| Resumo | |
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. (AU) | |
| Processo FAPESP: | 12/04723-4 - Análise do ruído transcricional na síntese proteica: Multimodalidade, autorregulação e regulação externa |
| Beneficiário: | Guilherme da Costa Pereira Innocentini |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |