LEADER 03598nam 2200493 450 001 9910422648303321 005 20210210165309.0 010 $a981-15-7417-0 024 7 $a10.1007/978-981-15-7417-7 035 $a(CKB)4100000011457839 035 $a(DE-He213)978-981-15-7417-7 035 $a(MiAaPQ)EBC6350704 035 $a(PPN)260305448 035 $a(EXLCZ)994100000011457839 100 $a20210210d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMicrobial communication $emathematical modeling, synthetic biology and the role of noise /$fSarangam Majumdar, Sisir Roy 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (XVII, 175 p. 35 illus., 18 illus. in color.) 311 $a981-15-7416-2 327 $aChapter 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. 330 $aThis 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. 606 $aCell interaction$xMathematical models 606 $aBacteriology 606 $aBioinformatics 615 0$aCell interaction$xMathematical models. 615 0$aBacteriology. 615 0$aBioinformatics. 676 $a589.9 700 $aMajumdar$b Sarangam$0977170 702 $aRoy$b Sisir 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910422648303321 996 $aMicrobial communication$92226102 997 $aUNINA