Fundamentals of Systems Biology

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A01=Markus W. Covert
advanced systems biology modeling techniques
Author_Markus W. Covert
Autoregulatory Circuit
Boolean Analysis
Category=GPS
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Category=UX
cellular signaling pathways
Compartment Diagram
computational biology
DNA Protein Complex
DNA Protein Interaction
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Euler Method
Exchange Fluxes
Feed Forward Loop
Fixed Point
Flagellar Biosynthesis
Free DNA
Free mRNAs
gene regulatory networks
Incoherent Feed Forward Loop
Mass Action Kinetics
mathematical modeling
Metabolic Network
Midpoint Method
Negative Autoregulation
omics data analysis
Ordinary Differential Equations
Protein Concentration
Runge Kutta Method
Single Input Module
Steady State Expression Level
Steady State Protein
Steady State Protein Level
stochastic biological systems
Transcriptional Regulatory Networks

Product details

  • ISBN 9781138459878
  • Weight: 840g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Jul 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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For decades biology has focused on decoding cellular processes one gene at a time, but many of the most pressing biological questions, as well as diseases such as cancer and heart disease, are related to complex systems involving the interaction of hundreds, or even thousands, of gene products and other factors. How do we begin to understand this complexity?
Fundamentals of Systems Biology: From Synthetic Circuits to Whole-cell Models introduces students to methods they can use to tackle complex systems head-on, carefully walking them through studies that comprise the foundation and frontier of systems biology. The first section of the book focuses on bringing students quickly up to speed with a variety of modeling methods in the context of a synthetic biological circuit. This innovative approach builds intuition about the strengths and weaknesses of each method and becomes critical in the book‘s second half, where much more complicated network models are addressed including transcriptional, signaling, metabolic, and even integrated multi-network models.
The approach makes the work much more accessible to novices (undergraduates, medical students, and biologists new to mathematical modeling) while still having much to offer experienced modelers--whether their interests are microbes, organs, whole organisms, diseases, synthetic biology, or just about any field that investigates living systems.

Markus Covert is an Associate Professor of Bioengineering and, by courtesy, Chemical and Systems Biology at Stanford University. He has received the National Institute of Health Director’s Pioneer Award and an Allen Distinguished Investigator Award from the Paul Allen Family Foundation. He is best known for the development of the first “whole-cell” computational model of a bacterial cell.

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