- Publication date:
- 2013
- Category:
- Algebra, Biology, Calculus, Mathematics

FREE shipping on ALL orders

Acknowledged author Brian P. Ingalls wrote Mathematical Modeling in Systems Biology: An Introduction (The MIT Press) comprising 408 pages back in 2013. Textbook and etextbook are published under ISBN 0262018888 and 9780262018883. Since then Mathematical Modeling in Systems Biology: An Introduction (The MIT Press) textbook was available to sell back to BooksRun online for the top buyback price of $12.19 or rent at the marketplace.

An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology.

Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels.

The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.