Stochastic analysis of the VEGF receptor response curve


Autoria(s): Macnamara, Shev; Burrage, Kevin; Sidje, Roger B.
Contribuinte(s)

Pham, Tuan D.

Zhou, Xiaobo

Data(s)

2007

Resumo

Recently, an analysis of the response curve of the vascular endothelial growth factor (VEGF) receptor and its application to cancer therapy was described in [T. Alarcón, and K. Page, J. R. Soc. Lond. Interface 4, 283–304 (2007)]. The analysis is significantly extended here by demonstrating that an alternative computational strategy, namely the Krylov FSP algorithm for the direct solution of the chemical master equation, is feasible for the study of the receptor model. The new method allows us to further investigate the hypothesis of symmetry in the stochastic fluctuations of the response. Also, by augmenting the original model with a single reversible reaction we formulate a plausible mechanism capable of realizing a bimodal response, which is reported experimentally but which is not exhibited by the original model. The significance of these findings for mechanisms of tumour resistance to antiangiogenic therapy is discussed.

Identificador

http://eprints.qut.edu.au/46025/

Publicador

Springer

Relação

http://link.aip.org/link/?APCPCS/952/238/1

Macnamara, Shev, Burrage, Kevin, & Sidje, Roger B. (2007) Stochastic analysis of the VEGF receptor response curve. In Pham, Tuan D. & Zhou, Xiaobo (Eds.) Computational Models For Life Sciences (CMLS '07): Proceedings of International Symposium on Computational Models for Life Sciences, Springer, Australia, Queensland, pp. 238-247.

Fonte

Faculty of Science and Technology; Mathematical Sciences

Palavras-Chave #010300 NUMERICAL AND COMPUTATIONAL MATHEMATICS #060114 Systems Biology #stochastic analysis #VEGF receptor response curve
Tipo

Conference Paper