Modeling Biomolecular Networks in Cells - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Biomolecular Networks in Cells write by Luonan Chen. This book was released on 2010-07-05. Modeling Biomolecular Networks in Cells available in PDF, EPUB and Kindle. 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.
Biomolecular Networks
Biomolecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biomolecular Networks write by Luonan Chen. This book was released on 2009-06-29. Biomolecular Networks available in PDF, EPUB and Kindle. Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function. This book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology approach. Readers will get comprehensive coverage of analyzing biomolecular networks in cellular systems based on available experimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated in depth with specific biological problems and novel computational methods: GENE NETWORKS—Transcriptional regulation; reconstruction of gene regulatory networks; and inference of transcriptional regulatory networks PROTEIN INTERACTION NETWORKS—Prediction of protein-protein interactions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction of protein function METABOLIC NETWORKS AND SIGNALING NETWORKS—Analysis, reconstruction, and applications of metabolic networks; modeling and inference of signaling networks; and other topics and new trends In addition to theoretical results and methods, many computational software tools are referenced and available from the authors' Web sites. Biomolecular Networks is an indispensable reference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, and applied mathematics.
Cellular Automata Modeling of Biomolecular Networks
Cellular Automata Modeling of Biomolecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cellular Automata Modeling of Biomolecular Networks write by Danail Bonchev. This book was released on 2011. Cellular Automata Modeling of Biomolecular Networks available in PDF, EPUB and Kindle.
Modeling Biomolecular Networks
Modeling Biomolecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Biomolecular Networks write by Anirvan M. Sengupta. This book was released on 2008. Modeling Biomolecular Networks available in PDF, EPUB and Kindle. This book describes the essentials of a mathematical description of the dynamics of biochemical networks. It covers both deterministic and stochastic aspects of the dynamics. After providing a brief introduction to basic molecular biology, the book describes fundamentals of chemical kinetics. The chapter on signal transduction makes contact with ideas from feedback circuit analysis and signal processing. The chapter on switches and oscillators analyses in detail biological examples, both natural and synthetic. Excitable systems are introduced and contrasted with oscillators. The last chapter deals with pattern formation and development and brings us to current questions of robustness of performance of developmental networks. The book provides brief introductions to some of the mathematical tools required in the main text and in a dedicated appendix. The emphasis, throughout, is on understanding of the essential dynamical aspects rather than just on recipes to build complex models.
Models and Algorithms for Biomolecules and Molecular Networks
Models and Algorithms for Biomolecules and Molecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Models and Algorithms for Biomolecules and Molecular Networks write by Bhaskar DasGupta. This book was released on 2016-01-06. Models and Algorithms for Biomolecules and Molecular Networks available in PDF, EPUB and Kindle. By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises
