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Microbial communication = mathematic...

Majumdar, Sarangam.

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Microbial communication = mathematical modeling, synthetic biology and the role of noise /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Microbial communication/ by 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.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Cell interaction - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-981-15-7417-7
ISBN:	9789811574177

Microbial communication = mathematical 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

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

3503440
Cell interaction
--Mathematical models.

LC Class. No.: QH604.2

Dewey Class. No.: 579.3

Microbial communication = mathematical modeling, synthetic biology and the role of noise /
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245 1 0 $a Microbial communication $h [electronic resource] : $b mathematical modeling, synthetic biology and the role of noise / $c by Sarangam Majumdar, Sisir Roy.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xvii, 175 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Cell interaction $x Mathematical models. $3 3503440
650 0 $a Bacteriology. $3 641499
650 0 $a Bioinformatics. $3 553671
650 0 $a Microbial ecology. $3 555211
650 0 $a Microbial genetics. $3 639659
650 0 $a Microbial genomics. $3 1001576
650 0 $a Systems biology. $3 905904
650 2 4 $a Computational Biology/Bioinformatics. $3 898313
650 2 4 $a Microbial Ecology. $3 895082
650 2 4 $a Microbial Genetics and Genomics. $3 891163
650 2 4 $a Systems Biology. $3 928020
700 1 $a Roy, Sisir. $3 3166231
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-15-7417-7
950 $a Biomedical and Life Sciences (SpringerNature-11642)