TY  - BOOK
AU  -  	Bernhard O. Palsson
TI  - Systems Biology : Constraint based Reconstruction and Analysis
SN  - 9781107038851
PY  - 2015///
CY  - Cambridge, United Kingdom 
PB  - Cambridge University
KW  -  	      Systems biology.     Biological models.
N1  -  	Introduction -- Part 1: Network Reconstruction -- Network Reconstruction: The Concept -- Network Reconstruction: The Process -- Metabolism in Escherichia coli -- Prokaryotes -- Eukaryotes -- Biochemical Reaction Networks -- Metastructures of Genomes -- Part 2: Mathematical Properties of Reconstructed Networks -- The Stoichiometric -- Simple Topological Network Properties -- Fundamental Network Properties -- Fundamental Network Properties -- Pathways -- Use of Pathway Vectors -- Randomized Sampling -- Part 3: Determining the Phenotypic Potential of Reconstructed Networks -- Dual Causality -- Functional States -- Constraints -- Optimization -- Determining Capabilities -- Equivalent States -- Distal Causation -- Part 4: Basic and Applied Uses -- Environmental Parameters -- Genetic Parameters -- Analysis of Omic Data -- Model-Driven Discovery -- Adaptive Laboratory Evolution -- Model-driven Design -- Part 5: Conceptual Foundations -- Teaching Systems Biology -- Epilogue
N2  - Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches. --Provided by publisher
ER  -