Bibliography:Systems biology

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Essay: Gives several examples illustrating goal stated in preface: “To understand cells as dynamic systems, mathematical tools are needed to fill the gap between molecular interactions and physiological consequences.
Examples of computational tools systems biologists use for simulation of living systems: "Simulation of dynamic biochemical systems is receiving considerable attention due to increasing availability of experimental data of complex cellular functions."
”.. the central concern of bioinformatics becomes the study of dynamical effects in biological systems.” Authors review the advantages and disadvantages of mathematical/computational/graphical/biostatistical tools to study dynamical biological systems: ODE = ordinary differential equations; HFPN = hybrid functional Petrinets; BN = Bayesian networks; DBN = dynamic Bayesian networks; SD = Forrester-type system dynamics
Indicates tools used to model gene regulatory networks, but applicable to modeling other biological systems. From Abstract: ”This paper reviews formalisms that have been employed in mathematical biology and bioinformatics to describe genetic regulatory systems, in particular directed graphs, Bayesian networks, Boolean networks and their generalizations, ordinary and partial differential equations, qualitative differential equations, stochastic equations, and rule-based formalisms. In addition, the paper discusses how these formalisms have been used in the simulation of the behavior of actual regulatory systems.
”Welcome to the Nature Cell Biology and Nature Reviews Molecular Cell Biology joint Focus on Systems Biology: a User's Guide. This collection of Review-type articles are designed as highly accessible and practical guides to some of the most important approaches and challenges in systems biology.”
One of a collection of essays addressing aspects of current medical science of interest to the public and to scientists generally.
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