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A more robust Boolean model describing inhibitor
binding |
| XIE Zhaoqian Steven1, TANG Chao2 |
| 1.Center for Theoretical Biology, Peking University；Departments of Physics and Mathematics, the University of Hong Kong, ; 2.Center for Theoretical Biology, Peking University；Department of Biopharmaceutical Sciences, University of California, San Francisco, CA 94158, USA; |
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Abstract From the first application of the Boolean model to the cell cycle regulation network of budding yeast, new regulative pathways have been discovered, particularly in the G1/S transition circuit. This discovery called for finer modeling to study the essential biology, and the resulting outcomes are first introduced in the article. A traditional Boolean network model set up for the new G1/S transition circuit shows that it cannot correctly simulate real biology unless the model parameters are fine tuned. The deficiency is caused by an overly coarse-grained description of the inhibitor binding process, which shall be overcome by a two-vector model proposed whose robustness is surveyed using random perturbations. Simulations show that the proposed two-vector model is much more robust in describing inhibitor binding processes within the Boolean framework.
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Issue Date: 05 December 2008
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