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Systems Biology for Signaling Networks pp 589–610Cite as

Construction of Cancer-Perturbed Protein–Protein Interaction Network of Apoptosis for Drug Target Discovery

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Part of the book series: Systems Biology ((SYSTBIOL))

Abstract

Inspecting interactive behaviors of proteins in cancer cells and comparing them with those in normal cells to obtain cancer-perturbed protein network can shed light on how a normal cell transforms into a cancer cell. Rough protein–protein interaction networks of apoptosis in cancer and normal cells are constructed according to human yeast-two-hybrid data sets and websites. The nonlinear stochastic model, maximum likelihood parameter estimation, and Akaike Information Criteria (AIC) are employed to reduce high false-positive rates in these large-scale interactome. By comparing protein–protein interaction networks of apoptosis between HeLa cancer cells and normal cells, we obtain cancer-perturbed networks and gain insight into the mechanism of apoptotic network in human cancer, which helps discovery of cancer drug targets. This proposed method could be extended to construct other perturbed protein interaction networks of cancer cells such as perturbated protein interaction network of cell cycle.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Tsing Hua University, 101, Section 2, Kuang-Fu Road, Hsinchu, 30013, Taiwan

    Liang-Hui Chu & Bor-Sen Chen

Authors
  1. Liang-Hui Chu
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  2. Bor-Sen Chen
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Correspondence to Liang-Hui Chu .

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Editors and Affiliations

  1. College of Natural Science, Dept. Biological Science, Department of Molecular Science and Tech, Suwon, 442-749, Korea, Republic of (South Korea)

    Sangdun Choi

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Chu, LH., Chen, BS. (2010). Construction of Cancer-Perturbed Protein–Protein Interaction Network of Apoptosis for Drug Target Discovery. In: Choi, S. (eds) Systems Biology for Signaling Networks. Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5797-9_24

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