Abstract
HER members of the tyrosine-kinase family of transmembrane receptors are initiators of signaling cascades driving crucial cellular process, such as gene transcription, cell cycle progression, apoptosis. Given their capacity of oncogenic transformation these receptors are the target of selective anticancer drugs, which in-vivo are however not as effective as anticipated by in-vitro experiments. Translating HER inhibitors into effective therapies to block the oncogenic signaling cascades will be facilitated by models that can provide reliable predictions for the evolution of the intricate HER mediated signaling networks. This work presents a process-algebra based approach to compactly specify and simulate HER signaling models. The proposed HER activation model can be easily reused as a building block in larger models of signaling.
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Mura, I. (2014). Predictive Modeling of Signaling Transduction Mediated by Tyrosine-Kinase Receptors. In: Castillo, L., Cristancho, M., Isaza, G., Pinzón, A., Rodríguez, J. (eds) Advances in Computational Biology. Advances in Intelligent Systems and Computing, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-01568-2_1
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DOI: https://doi.org/10.1007/978-3-319-01568-2_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01567-5
Online ISBN: 978-3-319-01568-2
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