Overview
- Provides a unitary approach to protocell models
- Includes a brief discussion on the role of quantum coherent states in the origin of life
- Written by the Chairman of the Science Board of the European Centre for Living Technology
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (6 chapters)
Keywords
- Autocatalytic Set
- Cell Evolution
- Emergent Properties
- Genetic Memory
- Internal Reaction Models
- Lipid Vesicles
- Models of Replicators Dynamics
- Origins of Life
- Protocell Architectures
- Surface Reaction Models
- RAF sets
- Reflexive Autocatalytic Food-Generated sets
- Kauffman random topologies
- synchronization
- autocatalytic cycle
- abiogenesis
- composome
- chemostat
About this book
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.
Authors and Affiliations
About the authors
Marco Villani is associate professor of Computer Science at the University of Modena and Reggio Emilia and a fellow of the European Centre for Living Technology. His main research interests, besides protocells, concern the dynamical modelling of Complex Systems, with applications to gene regulatory networks and cell differentiation, the analysis of their organization and the simulation of social systems. He is the editor of three books and of about 100 papers in international journals and conference proceedings with peer review.
Bibliographic Information
Book Title: Modelling Protocells
Book Subtitle: The Emergent Synchronization of Reproduction and Molecular Replication
Authors: Roberto Serra, Marco Villani
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-94-024-1160-7
Publisher: Springer Dordrecht
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media B.V. 2017
Hardcover ISBN: 978-94-024-1158-4Published: 02 August 2017
Softcover ISBN: 978-94-024-1500-1Published: 12 August 2018
eBook ISBN: 978-94-024-1160-7Published: 24 July 2017
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XV, 182
Number of Illustrations: 13 b/w illustrations, 33 illustrations in colour
Topics: Complex Systems, Biological and Medical Physics, Biophysics, Evolutionary Biology, Biotechnology, Statistical Physics and Dynamical Systems