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Microbial communicationmathematical ...

Majumdar, Sarangam.

Microbial communicationmathematical modeling, synthetic biology and the role of noise /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Microbial communicationby Sarangam Majumdar, Sisir Roy.
Reminder of title:	mathematical modeling, synthetic biology and the role of noise /
Author:	Majumdar, Sarangam.
other author:	Roy, Sisir.
Published:	Singapore :Springer Singapore :2020.
Description:	xvii, 175 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Cell interactionMathematical models.
Online resource:	https://doi.org/10.1007/978-981-15-7417-7
ISBN:	9789811574177$q(electronic bk.)

Microbial communicationmathematical modeling, synthetic biology and the role of noise /
Majumdar, Sarangam.

Microbial communicationmathematical modeling, synthetic biology and the role of noise /[electronic resource] :by Sarangam Majumdar, Sisir Roy. - Singapore :Springer Singapore :2020. - xvii, 175 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Talking about talking microbes -- Chapter 3. Mathematical models of quorum sensing molecular mechanisms -- Chapter 4. Mathematical models of quorum sensing regulated biofilms development -- Chapter 5. Mathematical models of bacterial swarming behaviour regulated by quorum sensing. Chapter 6. Mathematical models of bacterial quorum sensing regulated virulence factors -- Chapter 7. Evolutionary models of bacterial communication systems -- Chapter 8. Pattern formation in bacterial conversation mechanisms -- Chapter 9. Summary of Experimental Results -- Chapter 10. Therapy related mathematical models and quorum quenching -- Chapter 11. Role of noise in microbial communication -- Chapter 12. Electrical communication systems in bacterial biofilms and ion-channels -- Chapter 13. Synthetic biology and microbial communication -- Chapter 14. Role of Noise in Synthetic Biology -- Chapter 15 Noise in Science and Technology Vs Biological System.

This book introduces the concept of bacterial communication systems from a mathematical modeling point of view. It sheds light on the research undertaken in the last three decades, and the mathematical models that have been proposed to understand the underlying mechanism of such systems. These communication systems are related to quorum sensing mechanisms and quorum sensing regulated processes such as biofilm formation, gene expression, bioluminescence, swarming and virulence. The book further describes the phenomenon of noise, and discusses how noise plays a crucial role in gene expression and the quorum sensing circuit operationusing a set of tools like frequency domain analysis, power spectral density, stochastic simulation and the whitening effect. It also explores various aspects of synthetic biology (related to bacterial communication), such as genetic toggle switch, bistable gene regulatory networks, transcriptional repressor systems, pattern formation, synthetic cooperation, predator-prey synthetic systems, dynamical quorum sensing, synchronized quorum of genetic clocks, role of noise in synthetic biology, the Turing test and stochastic Turing test.

ISBN: 9789811574177$q(electronic bk.)

Standard No.: 10.1007/978-981-15-7417-7doiSubjects--Topical Terms:

876992
Cell interaction
--Mathematical models.

LC Class. No.: QH604.2

Dewey Class. No.: 579.3

Microbial communicationmathematical modeling, synthetic biology and the role of noise /
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505 0 $a Chapter 1. Introduction -- Chapter 2. Talking about talking microbes -- Chapter 3. Mathematical models of quorum sensing molecular mechanisms -- Chapter 4. Mathematical models of quorum sensing regulated biofilms development -- Chapter 5. Mathematical models of bacterial swarming behaviour regulated by quorum sensing. Chapter 6. Mathematical models of bacterial quorum sensing regulated virulence factors -- Chapter 7. Evolutionary models of bacterial communication systems -- Chapter 8. Pattern formation in bacterial conversation mechanisms -- Chapter 9. Summary of Experimental Results -- Chapter 10. Therapy related mathematical models and quorum quenching -- Chapter 11. Role of noise in microbial communication -- Chapter 12. Electrical communication systems in bacterial biofilms and ion-channels -- Chapter 13. Synthetic biology and microbial communication -- Chapter 14. Role of Noise in Synthetic Biology -- Chapter 15 Noise in Science and Technology Vs Biological System.
520 $a This book introduces the concept of bacterial communication systems from a mathematical modeling point of view. It sheds light on the research undertaken in the last three decades, and the mathematical models that have been proposed to understand the underlying mechanism of such systems. These communication systems are related to quorum sensing mechanisms and quorum sensing regulated processes such as biofilm formation, gene expression, bioluminescence, swarming and virulence. The book further describes the phenomenon of noise, and discusses how noise plays a crucial role in gene expression and the quorum sensing circuit operationusing a set of tools like frequency domain analysis, power spectral density, stochastic simulation and the whitening effect. It also explores various aspects of synthetic biology (related to bacterial communication), such as genetic toggle switch, bistable gene regulatory networks, transcriptional repressor systems, pattern formation, synthetic cooperation, predator-prey synthetic systems, dynamical quorum sensing, synchronized quorum of genetic clocks, role of noise in synthetic biology, the Turing test and stochastic Turing test.
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650 0 $a Bacteriology. $3 273947
650 0 $a Bioinformatics. $3 194415
650 0 $a Microbial ecology. $3 188703
650 0 $a Microbial genetics. $3 220399
650 0 $a Microbial genomics. $3 224804
650 0 $a Systems biology. $3 282663
650 2 4 $a Computational Biology/Bioinformatics. $3 274833
650 2 4 $a Microbial Ecology. $3 274324
650 2 4 $a Microbial Genetics and Genomics. $3 273651
650 2 4 $a Systems Biology. $3 245824
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