國立虎尾科技大學 |

Modelling protocells = the emergent synchronization of reproduction and molecular replication /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modelling protocells/ by Roberto Serra, Marco Villani.
其他題名:	the emergent synchronization of reproduction and molecular replication /
作者:	Serra, Roberto.
其他作者:	Villani, Marco.
出版者:	Dordrecht :Springer Netherlands : : 2017.,
面頁冊數:	xv, 182 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Synthetic biology - Mathematical models. -
電子資源:	http://dx.doi.org/10.1007/978-94-024-1160-7
ISBN:	9789402411607

Modelling protocells = the emergent synchronization of reproduction and molecular replication /
Serra, Roberto.

Modelling protocellsthe emergent synchronization of reproduction and molecular replication /[electronic resource] :by Roberto Serra, Marco Villani. - Dordrecht :Springer Netherlands :2017. - xv, 182 p. :ill. (some col.), digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..

Foreword -- Introduction -- About protocells -- Why modelling protocells -- Collective self-replication -- Self-replication in a vesicle -- Self-replication in a reproducing protocell -- Generic properties of dynamical models of protocells -- Introduction. -Generic properties of biological systems: data -- Generic properties of biological systems: concepts -- What shall we model -- Dynamical models of protocells and synchronization -- Simplified surface-reaction models of protocells -- Synchronization in surface reaction models -- Several linearly interacting replicators -- Several interacting replicators with nonlinear interactions -- Internal reaction models -- Models of self-replication -- Introduction -- Autocatalytic sets -- The properties of some replication models -- Products and substrates -- Reflexive autocatalytic food-generated (raf) sets -- A stochastic model of growing and dividing protocells -- Semipermeable protocells -- The role of active membranes -- The effects of passive membranes -- Coupled dynamics of rafs and protocells -- Maintaining novelties -- A comment on evolvable populations of protocells -- Conclusions, open questions and perspectives -- Introduction -- The hypothesis of spontaneous fission and synchronization -- The formation of self-sustaining autocatalytic cycles -- The role of membranes -- A virtual laboratory.

The monograph discusses models of synthetic protocells, which are cell-like structures obtained from non-living matter endowed with some rudimentary kind of metabolism and genetics, but much simpler than biological cells. They should grow and proliferate, generating offsprings that resemble in some way the parent protocells with some variation, so that selection may take place. Sustainable protocell populations have not yet been obtained experimentally and mathematical models are therefore extremely important to address key questions concerning their synthesis and behavior. Different protocell "architectures" have been proposed and high-level abstract models like those that are presented in this book are particularly relevant to gain a better understanding of the different properites. These models are able to treat all the major dynamical phenomena in a unified framework, so they can be seen as "virtual laboratories" for protocell research. Particular attention is paid to the problem of synchronization of the fission rate of the whole protocell and the duplication rate of its "protogenetic" material, which is shown to be an emergent property that spontaneously develops in successive generations. The book is of interest for a broad range of scientists working in soft matter physics, chemistry and biology, interested in the role protocells may play on the development of new technologies with medical, environmental and industrial applications as well as scientists interested in the origin of life.

ISBN: 9789402411607

Standard No.: 10.1007/978-94-024-1160-7doiSubjects--Topical Terms:

1199284
Synthetic biology
--Mathematical models.

LC Class. No.: TA164

Dewey Class. No.: 660.6

Modelling protocells = the emergent synchronization of reproduction and molecular replication /
LDR:03967nam a2200337 a 4500 001 923178
003 DE-He213
005 20170724080600.0
006 m d
007 cr nn 008maaau
008 190625s2017 ne s 0 eng d
020 $a 9789402411607 $q (electronic bk.)
020 $a 9789402411584 $q (paper)
024 7 $a 10.1007/978-94-024-1160-7 $2 doi
035 $a 978-94-024-1160-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TA164
072 7 $a PHS $2 bicssc
072 7 $a PHDT $2 bicssc
072 7 $a SCI055000 $2 bisacsh
082 0 4 $a 660.6 $2 23
090 $a TA164 $b .S487 2017
100 1 $a Serra, Roberto. $3 792499
245 1 0 $a Modelling protocells $h [electronic resource] : $b the emergent synchronization of reproduction and molecular replication / $c by Roberto Serra, Marco Villani.
260 $a Dordrecht : $c 2017. $b Springer Netherlands : $b Imprint: Springer,
300 $a xv, 182 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Understanding complex systems, $x 1860-0832
505 0 $a Foreword -- Introduction -- About protocells -- Why modelling protocells -- Collective self-replication -- Self-replication in a vesicle -- Self-replication in a reproducing protocell -- Generic properties of dynamical models of protocells -- Introduction. -Generic properties of biological systems: data -- Generic properties of biological systems: concepts -- What shall we model -- Dynamical models of protocells and synchronization -- Simplified surface-reaction models of protocells -- Synchronization in surface reaction models -- Several linearly interacting replicators -- Several interacting replicators with nonlinear interactions -- Internal reaction models -- Models of self-replication -- Introduction -- Autocatalytic sets -- The properties of some replication models -- Products and substrates -- Reflexive autocatalytic food-generated (raf) sets -- A stochastic model of growing and dividing protocells -- Semipermeable protocells -- The role of active membranes -- The effects of passive membranes -- Coupled dynamics of rafs and protocells -- Maintaining novelties -- A comment on evolvable populations of protocells -- Conclusions, open questions and perspectives -- Introduction -- The hypothesis of spontaneous fission and synchronization -- The formation of self-sustaining autocatalytic cycles -- The role of membranes -- A virtual laboratory.
520 $a The monograph discusses models of synthetic protocells, which are cell-like structures obtained from non-living matter endowed with some rudimentary kind of metabolism and genetics, but much simpler than biological cells. They should grow and proliferate, generating offsprings that resemble in some way the parent protocells with some variation, so that selection may take place. Sustainable protocell populations have not yet been obtained experimentally and mathematical models are therefore extremely important to address key questions concerning their synthesis and behavior. Different protocell "architectures" have been proposed and high-level abstract models like those that are presented in this book are particularly relevant to gain a better understanding of the different properites. These models are able to treat all the major dynamical phenomena in a unified framework, so they can be seen as "virtual laboratories" for protocell research. Particular attention is paid to the problem of synchronization of the fission rate of the whole protocell and the duplication rate of its "protogenetic" material, which is shown to be an emergent property that spontaneously develops in successive generations. The book is of interest for a broad range of scientists working in soft matter physics, chemistry and biology, interested in the role protocells may play on the development of new technologies with medical, environmental and industrial applications as well as scientists interested in the origin of life.
650 0 $a Synthetic biology $x Mathematical models. $3 1199284
650 1 4 $a Physics. $3 564049
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Biological and Medical Physics, Biophysics. $3 1113305
650 2 4 $a Evolutionary Biology. $3 668573
650 2 4 $a Biotechnology. $3 554955
650 2 4 $a Statistical Physics and Dynamical Systems. $3 1114011
700 1 $a Villani, Marco. $3 857102
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Understanding complex systems. $3 881607
856 4 0 $u http://dx.doi.org/10.1007/978-94-024-1160-7
950 $a Physics and Astronomy (Springer-11651)