Modeling Biomolecular Networks In Cells PDF Download
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| Author | : Luonan Chen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 343 |
| Release | : 2010-07-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1849962146 |
Download Modeling Biomolecular Networks in Cells Book 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.
| Author | : Luonan Chen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 416 |
| Release | : 2009-06-29 |
| Genre | : Computers |
| ISBN | : 9780470488058 |
Download Biomolecular Networks Book 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.
| Author | : Anirvan M. Sengupta |
| Publisher | : |
| Total Pages | : 208 |
| Release | : 2008 |
| Genre | : Science |
| ISBN | : 9780198568049 |
Download Modeling Biomolecular Networks Book 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.
| Author | : Bhaskar DasGupta |
| Publisher | : John Wiley & Sons |
| Total Pages | : 264 |
| Release | : 2016-01-06 |
| Genre | : Science |
| ISBN | : 1119162262 |
Download Models and Algorithms for Biomolecules and Molecular Networks Book 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
| Author | : |
| Publisher | : |
| Total Pages | : 18 |
| Release | : 2006 |
| Genre | : |
| ISBN | : |
Download Modeling, Analysis, Simulation, and Synthesis of Biomolecular Networks Book in PDF, ePub and Kindle
This project under the DARPA BIOCOMP program integrated fundamental scientific investigations in the field of molecular systems biology, algorithm development for biomolecular modeling, and open source, object based software implementation. Major accomplishments were 1) experimental gene knockout strain investigations of the V.fisheri quorum sensing system that yielded a mathematical model of its regulatory proteins, 2) a model of stringent response in E.coli and M.tuberculosis describing the role of enzyme RelMtb, 3) a first example of reachability analysis applied to a biomolecular system (lactose induction), 4) a model of tetracycline resistance that discriminates between two possible mechanisms for tetracycline diffusion through the cell membrane, and 5) a new method for investigating the producibility of a metabolite by a network of chemical reactions from an available set of nutrients using sets of gene knockouts. Accomplishments in algorithm/implementation were 1) reachability and other metabolic analysis tools for non-linear biomolecular networks aiding construction of a hybrid systems-based abstraction, 2) a Systems Biology Markup Language compatible reachability algorithm using a piecewise multi-affine hybrid system method, and 3) a metabolic network producibility analysis algorithm for large scale metabolic networks predicting the possibility of producing a set of metabolites from a set of available nutrients, complementing biomass flux optimization.
| Author | : Heinz Koeppl |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 407 |
| Release | : 2011-05-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1441967664 |
Download Design and Analysis of Biomolecular Circuits Book in PDF, ePub and Kindle
The book deals with engineering aspects of the two emerging and intertwined fields of synthetic and systems biology. Both fields hold promise to revolutionize the way molecular biology research is done, the way today’s drug discovery works and the way bio-engineering is done. Both fields stress the importance of building and characterizing small bio-molecular networks in order to synthesize incrementally and understand large complex networks inside living cells. Reminiscent of computer-aided design (CAD) of electronic circuits, abstraction is believed to be the key concept to achieve this goal. It allows hiding the overwhelming complexity of cellular processes by encapsulating network parts into abstract modules. This book provides a unique perspective on how concepts and methods from CAD of electronic circuits can be leveraged to overcome complexity barrier perceived in synthetic and systems biology.
| Author | : Yaochu Jin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 336 |
| Release | : 2009-04-15 |
| Genre | : Computers |
| ISBN | : 3540899677 |
Download Fuzzy Systems in Bioinformatics and Computational Biology Book in PDF, ePub and Kindle
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.
| Author | : Ali Ayadi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2018 |
| Genre | : |
| ISBN | : |
Download Semantic Approaches for the Meta-optimization of Complex Biomolecular Networks Book in PDF, ePub and Kindle
Systems biology models aim to understand the behaviour of a cell trough a complex biomolecular network. In the literature, most research focuses on modelling isolated parts of this network, such as metabolic networks.However, to fully understand the cell's behaviour we should analyze the biomolecular network as a whole. Avail-able approaches do not address these requirements sufficiently. In this context, we aim at developing a platform that enables biologists to simulate the state changes of biomolecular networks with the goal of steering their be-haviours. The platform employs rules, knowledge and experience, much like those that an expert biologist mightderive. This platform consists of four modules: a logic-based modelling module, a semantic modelling module,a qualitative discrete-event simulation module and an optimization module. For this purpose, we first present alogic-based approach for modelling complex biomolecular networks including the structural, functional and be-havioural aspects. Next, we propose a semantic approach based on four ontologies to provide a rich description of biomolecular networks and their state changes. Then, we present a method of qualitative discrete-event simulation to simulate the biomolecular network behaviour over time. Finally, we propose a multi-objective optimization method for optimizing the transittability of complex biomolecular networks in which we take into account various criteria such as minimizing the number of external stimuli, minimizing the cost of these stimuli, minimizing the number of target nodes and minimizing patient discomfort. Based on these four contributions, a prototype called the CBNSimulator was developed. We describe our approaches and show their applicability through real cases studies, the bacteriophage T4 gene 32, the phage lambda, and the p53 signaling network. Results demonstrate that these approaches provide the necessary elements to model, reason and analyse the dynamic behaviour and the transition states of complex biomolecular networks.
| Author | : Alejandro Salcido |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 584 |
| Release | : 2011-04-11 |
| Genre | : Computers |
| ISBN | : 953307230X |
Download Cellular Automata Book in PDF, ePub and Kindle
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.
| Author | : Matteo Barberis |
| Publisher | : Frontiers Media SA |
| Total Pages | : 340 |
| Release | : 2019-08-16 |
| Genre | : |
| ISBN | : 2889459837 |
Download Logical Modeling of Cellular Processes: From Software Development to Network Dynamics Book in PDF, ePub and Kindle
Mathematical models have become invaluable tools for understanding the intricate dynamic behavior of complex biochemical and biological systems. Among computational strategies, logical modeling has been recently gaining interest as an alternative approach to address network dynamics. Due to its advantages, including scalability and independence of kinetic parameters, the logical modeling framework is becoming increasingly popular to study the dynamics of highly interconnected systems, such as cell cycle progression, T cell differentiation and gene regulation. Novel tools and standards have been developed to increase the interoperability of logical models, which can now be employ to respond a variety of biological questions. This Research Topic brings together the most recent and cutting-edge approaches in the area of logical modeling including, among others, novel biological applications, software development and model analysis techniques.
