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Systems Biology in Cancer Research and Drug Discovery pp 39–67Cite as

System Biology Approach to Study Cancer Related Pathways

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Abstract

This chapter discusses a system biology approach to investigate the mechanism of cancer, especially the characteristic of the p53 pathway. Pathway modelling methods together with parameter estimation approaches are used to simulate the dynamic features of biological pathways. The core regulation part of the p53 pathway is analysed as an example, where its network motifs are identified by model selection methods based on the observation of experimental data. With the constructed mechanistic model, biological pathways can be simulated through in silicoexperiments to facilitate cancer research.

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Abbreviations

MS:

Mass spectrometry

Rb:

Retinoblastoma

MMS:

Methyl methane sulfonate

IR:

Ionising radiation

MDM2:

Murine double minute 2

GA:

Genetic algorithm

EKF:

Extended Kalman filter

UKF:

Unscented Kalman filter

WRN:

Werner’s syndrome protein

CHK1:

Serine/threonine-protein kinase

SMC:

Sequential Monte Carlo

CTMCs:

Continuous time Markov chains

ODEs:

Ordinary differential equations

SA:

Sensitivity analysis

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Authors and Affiliations

  1. Department of Computing, Imperial College London, London, SW7 2AZ, UK

    Yike Guo & Xian Yang

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  1. Yike Guo
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  2. Xian Yang
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Correspondence to Yike Guo .

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Editors and Affiliations

  1. Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA

    Asfar S. Azmi

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Guo, Y., Yang, X. (2012). System Biology Approach to Study Cancer Related Pathways. In: Azmi, A.S. (eds) Systems Biology in Cancer Research and Drug Discovery. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4819-4_2

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