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Applications of Membrane Computing in Systems and Synthetic Biology

Overview of attention for book
Cover of 'Applications of Membrane Computing in Systems and Synthetic Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Infobiotics Workbench: A P Systems Based Tool for Systems and Synthetic Biology
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    Chapter 2 Statistical Model Checking of Membrane Systems with Peripheral Proteins: Quantifying the Role of Estrogen in Cellular Mitosis and DNA Damage
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    Chapter 3 Molecular Diffusion and Compartmentalization in Signal Transduction Pathways: An Application of Membrane Systems to the Study of Bacterial Chemotaxis
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    Chapter 4 Membrane System-Based Models for Specifying Dynamical Population Systems
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    Chapter 5 Membrane Systems and Tools Combining Dynamical Structures with Reaction Kinetics for Applications in Chronobiology
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    Chapter 6 Biochemical Networks Discrete Modeling Inspired by Membrane Systems
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    Chapter 7 MP Modelling for Systems Biology: Two Case Studies
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    Chapter 8 Modelling and Analysis of E. coli Respiratory Chain
Attention for Chapter 2: Statistical Model Checking of Membrane Systems with Peripheral Proteins: Quantifying the Role of Estrogen in Cellular Mitosis and DNA Damage
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Chapter title
Statistical Model Checking of Membrane Systems with Peripheral Proteins: Quantifying the Role of Estrogen in Cellular Mitosis and DNA Damage
Chapter number 2
Book title
Applications of Membrane Computing in Systems and Synthetic Biology
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-03191-0_2
Book ISBNs
978-3-31-903190-3, 978-3-31-903191-0
Authors

Matteo Cavaliere, Tommaso Mazza, Sean Sedwards

Editors

Pierluigi Frisco, Marian Gheorghe, Mario J. Pérez-Jiménez

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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