Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology book cover

Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Author(s): Paola Lecca (Author), Ian J. Laurenzi (Author), Ferenc Jordan (Author)

  • Publisher: Woodhead Publishing Ltd
  • Publication Date: 9 April 2013
  • Edition: 1st
  • Language: English
  • Print length: 390 pages
  • ISBN-10: 190756862X
  • ISBN-13: 9781907568626

Book Description

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics of biochemical and biological networks. Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field of modelling and simulation of biological processes at the molecular scale.

Key Features: introduces mathematical concepts and formalisms of deterministic and stochastic modelling through clear and simple examples; presents recently developed discrete stochastic formalisms for modelling biological systems and processes; describes and applies stochastic simulation algorithms to implement a stochastic formulation of biochemical and biological kinetics.

Contents: Deterministic chemical kinetics; The stochastic approach to biochemical kinetics; The exact stochastic simulation algorithms; Modelling in systems biology; The structure of biochemical models; Reaction-diffusion systems; KInfer: A tool for model calibration; Modelling living systems with BlenX; Simulation of ecodynamics: Key nodes in food webs.

Editorial Reviews

About the Author

Paola Lecca is a researcher at The Microsoft Research, University of Trento, Centre for Computational and Systems Biology, Italy. Her principal research interests include biochemical system identification and model calibration, stochastic chemical kinetics and reaction-diffusion systems. Ian J. Laurenzi is a Senior Researcher at ExxonMobil. He is an expert in the areas of stochastic processes, statistics, computational biology and receptor-mediated adhesion of human blood platelets, and has investigated the genome-level dynamics of gene networks and the effect of sex upon mammalian gene expression. Ferenc Jordan is a biologist whose background is in genetics, theoretical biology and evolutionary biology, and his principal recent interests are systems ecology and biological networks.

View on Amazon

电子书代发PDF格式价格30我要求助
未经允许不得转载:Wow! eBook » Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology