Cellular Automata Modeling of Biomolecular Networks
Title | Cellular Automata Modeling of Biomolecular Networks PDF eBook |
Author | Danail Bonchev |
Publisher | |
Pages | |
Release | 2011 |
Genre | |
ISBN | 9789533072302 |
Cellular Automaton Modeling of Biological Pattern Formation
Title | Cellular Automaton Modeling of Biological Pattern Formation PDF eBook |
Author | Andreas Deutsch |
Publisher | Springer Science & Business Media |
Pages | 331 |
Release | 2007-12-26 |
Genre | Science |
ISBN | 0817644156 |
This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling.
Modeling Biomolecular Networks in Cells
Title | Modeling Biomolecular Networks in Cells PDF eBook |
Author | Luonan Chen |
Publisher | Springer Science & Business Media |
Pages | 343 |
Release | 2010-07-05 |
Genre | Technology & Engineering |
ISBN | 1849962146 |
Modeling Biomolecular Networks in Cells shows how the interaction between the molecular components of basic living organisms can be modelled mathematically and the models used to create artificial biological entities within cells. Such forward engineering is a difficult task but the nonlinear dynamical methods espoused in this book simplify the biology so that it can be successfully understood and the synthesis of simple biological oscillators and rhythm-generators made feasible. Such simple units can then be co-ordinated using intercellular signal biomolecules. The formation of such man-made multicellular networks with a view to the production of biosensors, logic gates, new forms of integrated circuitry based on "gene-chips" and even biological computers is an important step in the design of faster and more flexible "electronics". The book also provides theoretical frameworks and tools with which to analyze the nonlinear dynamical phenomena which arise from the connection of building units in a biomolecular network.
Cellular Automata
Title | Cellular Automata PDF eBook |
Author | Alejandro Salcido |
Publisher | BoD – Books on Demand |
Pages | 584 |
Release | 2011-04-11 |
Genre | Computers |
ISBN | 953307230X |
Cellular automata make up a class of completely discrete dynamical systems, which have became a core subject in the sciences of complexity due to their conceptual simplicity, easiness of implementation for computer simulation, and their ability to exhibit a wide variety of amazingly complex behavior. The feature of simplicity behind complexity of cellular automata has attracted the researchers' attention from a wide range of divergent fields of study of science, which extend from the exact disciplines of mathematical physics up to the social ones, and beyond. Numerous complex systems containing many discrete elements with local interactions have been and are being conveniently modelled as cellular automata. In this book, the versatility of cellular automata as models for a wide diversity of complex systems is underlined through the study of a number of outstanding problems using these innovative techniques for modelling and simulation.
Theory of Practical Cellular Automaton
Title | Theory of Practical Cellular Automaton PDF eBook |
Author | Xuewei Li |
Publisher | Springer |
Pages | 361 |
Release | 2018-05-17 |
Genre | Business & Economics |
ISBN | 9811074976 |
This book addresses the intellectual foundations, function, modeling approaches and complexity of cellular automata; explores cellular automata in combination with genetic algorithms, neural networks and agents; and discusses the applications of cellular automata in economics, traffic and the spread of disease. Pursuing a blended approach between knowledge and philosophy, it assigns equal value to methods and applications.
Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena
Title | Cellular Automata and Complex Systems: Methods for Modeling Biological Phenomena PDF eBook |
Author | Bilotta, Eleonora |
Publisher | IGI Global |
Pages | 502 |
Release | 2010-06-30 |
Genre | Education |
ISBN | 1615207880 |
"The theme of this book is the use of Cellular Automatas (CAs) to model biological systems, describing 2-D CAs to create populations of "life-like agents" with their own genomes"--Provided by publisher.
A New Kind of Computational Biology
Title | A New Kind of Computational Biology PDF eBook |
Author | Parimal Pal Chaudhuri |
Publisher | Springer |
Pages | 351 |
Release | 2018-09-26 |
Genre | Computers |
ISBN | 9811316392 |
This book reflects more than three decades of research on Cellular Automata (CA), and nearly a decade of work on the application of CA to model biological strings, which forms the foundation of 'A New Kind of Computational Biology' pioneered by the start-up, CARLBio. After a brief introduction on Cellular Automata (CA) theory and functional biology, it reports on the modeling of basic biological strings with CA, starting with the basic nucleotides leading to codon and anti-codon CA models. It derives a more involved CA model of DNA, RNA, the entire translation process for amino acid formation and the evolution of protein to its unique structure and function. In subsequent chapters the interaction of Proteins with other bio-molecules is also modeled. The only prior knowledge assumed necessary is an undergraduate knowledge of computer programming and biology. The book adopts a hands-on, “do-it-yourself” approach to enable readers to apply the method provided to derive the CA rules and comprehend how these are related to the physical ‘rules’ observed in biology. In a single framework, the authors have presented two branches of science – Computation and Biology. Instead of rigorous molecular dynamics modeling, which the authors describe as a Bottoms-Up model, or relying on the Top-Down new age Artificial Intelligence (AI) and Machine Language (ML) that depends on extensive availability of quality data, this book takes the best from both the Top-Down and Bottoms-up approaches and establishes how the behavior of complex molecules is represented in CA. The CA rules are derived from the basic knowledge of molecular interaction and construction observed in biological world but mapped to a few subset of known results to derive and predict results. This book is useful for students, researchers and industry practitioners who want to explore modeling and simulation of the physical world complex systems from a different perspective. It raises the inevitable the question – ‘Are life and the universe nothing but a collection of continuous systems processing information’.