Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular BiologistsA true understanding of genetic and metabolic function and design is facilitated by mathematical and computational methods for analyzing biochemical systems. This hands-on reference teaches biochemists and molecular biologists the use of modern computational methods for the analysis of complex biomedical systems requiring a modest mathematical background. The book begins with representations of biochemical systems, provides guidelines for setting up models, details mathematical and computational methods of parameter estimation and model analysis, and connects to the modern literature with four detailed case studies. Every step is illustrated with examples and explored with accompanying PLAS software. The volume also features over 250 exercises with about one quarter fully or partially solved. |
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Inhalt
Graphical Representation of Biochemical Systems | 11 |
Models of Biochemical Systems | 37 |
From Maps to Equations | 76 |
Computer Simulation | 97 |
Parameter Estimation | 143 |
Analytical SteadyState Evaluation | 193 |
Sensitivity Analysis | 222 |
Case Study 1 Anaerobic Fermentation Pathway in Saccharomyces cerevisiae | 260 |
Case Study 3 A Sequence of Models Describing Purine Metabolism | 326 |
Case Study 4 Algebraic Analysis of the Initial Steps of the GlycolyticGlycogenolytic Pathway in Perfused Rat Liver | 365 |
Epilogue Canonical Modeling Beyond Biochemistry | 399 |
Appendix | 413 |
Hints and Partial Solutions | 443 |
469 | |
499 | |
507 | |
Case Study 2 Diagnosis and Refinement of a Model of the Tricarboxylic Acid Cycle in Dictyostelium discoideum | 293 |
Andere Ausgaben - Alle anzeigen
Computational Analysis of Biochemical Systems: A Practical Guide for ... Eberhard O. Voit Keine Leseprobe verfügbar - 2000 |
Häufige Begriffe und Wortgruppen
acid activity analysis approach approximation associated becomes biochemical systems branch Chapter components computed concentration considered consists constraints contains corresponding decrease defined degradation dependent derivative describe detail determinant developed differential equations discussed dynamics effect enzyme equal equations estimation example Exercise experiment experimental expression Figure flux function given glucose glucose-6-phosphate implemented included increase independent variables indicates inhibition initial input instance interest kinetic orders linear logarithmic gains mathematical matrix measured metabolic metabolites method names numerical observed obtained operating original parameter values pathway perturbations PLAS pool positive power-law predictions production question rate constant rate law reaction relationships relative representation represented requires respect responses S-system S-system model Savageau sensitivities shows similar simple simulations solution solve specific steady steady-state step structure substrate symbolic Table vector yields zero
Verweise auf dieses Buch
Engineering Design Synthesis: Understanding, Approaches and Tools Amaresh Chakrabarti Eingeschränkte Leseprobe - 2002 |