期刊
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
卷 14, 期 1, 页码 -出版社
IMPERIAL COLLEGE PRESS
DOI: 10.1142/S0219720016400011
关键词
Discrete modeling; hybrid modeling; mammalian cell cycle
Time plays an essential role in many biological systems, especially in cell cycle. Many models of biological systems rely on differential equations, but parameter identification is an obstacle to use differential frameworks. In this paper, we present a new hybrid modeling framework that extends Rene Thomas' discrete modeling. The core idea is to associate with each qualitative state celerities allowing us to compute the time spent in each state. This hybrid framework is illustrated by building a 5-variable model of the mammalian cell cycle. Its parameters are determined by applying formal methods on the underlying discrete model and by constraining parameters using timing observations on the cell cycle. This first hybrid model presents the most important known behaviors of the cell cycle, including quiescent phase and endoreplication.
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