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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology
 
 

Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology, 1st Edition

 
Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology, 1st Edition,P Lecca,I Laurenzi,F Jordan,ISBN9781907568626
 
 
 

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Woodhead Publishing

9781907568626

9781908818218

390

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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

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. Following an overview of deterministic chemical kinetics and the stochastic approach to biochemical kinetics, the book goes onto discuss the specifics of stochastic simulation algorithms, modelling in systems biology and the structure of biochemical models. Later chapters cover reaction-diffusion systems, and provide an analysis of the Kinfer and BlenX software systems. The final chapter looks at simulation of ecodynamics and food web dynamics.

P Lecca

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 system.

Affiliations and Expertise

The Microsoft Research - University of Trento, COSBI, Italy

I Laurenzi

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.

Affiliations and Expertise

ExxonMobil, USA

F Jordan

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.

Affiliations and Expertise

The Microsoft Research - University of Trento, COSBI, Italy

Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology, 1st Edition

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.
 
 
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