Computational Modeling of Genetic and Biochemical Networks
By Hamid Bolouri (eds)

List of Tables

Chapter 2: A Probabilistic Model of a Prokaryotic Gene and Its Regulation

Table 2.1: Chemical reactions involved in gene expression in ? phage
Table 2.2: Values of mesoscopic rate constants in this model
Table 2.3: Free energies used to calculate k 1 from a transcription factor DNA binding model

Chapter 5: Genetic Network Inference in Computational Models and Applications to Large-Scale Gene Expression Data

Table 5.1: Terminology for dynamic systems
Table 5.2: Comparison of methods for measuring gene expression

Chapter 6: Atomic-Level Simulation and Modeling of Biomacromolecules

Table 6.1: Time steps obtained in the hierarchical modeling of two proteins

Chapter 9: Stochastic Simulation of Cell Signaling Pathways

Table 9.1: Free energies of Tar complexes based on thermodynamic considerations

Chapter 10: Analysis of Complex Dynamics in Cell Cycle Regulation

Table 10.1: Novak Tyson model of MPF regulation in frog eggs
Table 10.2: Parameter values used in the Novak Tyson model
Copyright Massachusetts Institute of Technology 2001 under license agreement with Books24x7
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