Quantitative modeling of biopathway dynamics is crucial to the
system-level understanding of cellular functions and behavior.
Currently, a common method of representing bio-pathways is through
a system of ordinary differential equations (ODEs). However,
calibrating and analyzing large ODE-based pathway models often
requires a large number of numerical simulations. To address this
issue, this book presents a probabilistic approximation approach.
by which the analysis of ODE-based models can be considerably
simplified. The applicability of these techniques has been by
studying two existing pathways and a "live" pathway called the
complement system in collaboration with biologists. Apart from
improved performance, the crucial insights gained from the study of
complement system could contribute to the development of
immunomodulation therapies. This book should be useful to
researches in Computational Systems Biology field, or anyone else
who may be considering utilizing ODEs for their modeling efforts.
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