Download or read book Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism written by Kazuyuki Shimizu and published by Bentham Science Publishers. This book was released on 2015-06-04 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: An understanding of biological systems at cellular and molecular levels helps researchers to model cellular behavior in different experimental conditions. This, in turn, can lead to insights about the influence of cell culture environment and the effect of knockout gene research when studying mutations that affect specific metabolic pathways. A systems biology approach, therefore, allows researchers to simulate experimental observations in order to predict outcomes at the cellular level. Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism presents the basic concepts required for a systems biology approach towards cellular modeling. The book is intended as a primer for systems biology and biomedical engineering graduates and researchers. The text introduces readers to concepts related to cellular metabolism and its regulation, (enzymatic regulation and transcriptional regulation) which are also incorporated into a main metabolic model of a cell. The book also has chapters dedicated to identifying and incorporating steady-state and dynamic characteristics when considering a biological model for a computer simulation. Readers will be able to (1) understand the basis of systems analysis towards creating appropriate biological models and simulations, (2) develop useful kinetic models based on cellular transport phenomena and metabolic regulation, (3) understand how to simulate a cell growth phenotype, and analyze it with experimental data.

Download or read book Metabolic Regulation and Metabolic Engineering for Biofuel and Biochemical Production written by Kazuyuki Shimizu and published by CRC Press. This book was released on 2017-07-12 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The global warming problem is becoming critical year by year, causing climate disaster all over the world, where it has been believed that the CO2 gas emitted from the factories and the burning of fossil fuels may be one of the reasons of global warming. Moreover, the global stock of fossil fuels is limited, and may run out soon within several tens of years. Although wind, geo-thermal, and tide energies have been considered as clean energy sources, those depend on the land or sea locations and subject to the climate change. Biofuel and biochemical production from renewable bio-resources has thus been paid recent attention from environmental protection and energy production points of view, where the current chemical and energy producing plants can be also utilized with slight modification. The so-called 1st generation biofuels have been produced from corn starch and sugarcane in particular in USA and Brazil. However, this causes the problem of the so-called "food and energy issues" as the production scale increases. The 2nd generation biofuel production from lingo-cellulosic biomass or wastes has thus been paid recent attention. However, it requires energy intensive pretreatment for the degradation of lingo-cellulosic biomass, and the fermentation is slow due to low growth rate, and thus the productivity of biofuels and bio-chemicals is low. The 3rd generation biofuel production from photosynthetic organisms such as cyanobacteria and algae has been also paid attention, because such organisms can grow with only sun light and CO2 in the air, but the cell growth rate and thus the productivity of the fuels is significantly low. The main part or core of such production processes is the fermentation by micro-organisms. In particular, it is critical to properly understand the cell metabolism followed by the efficient metabolic engineering. The book gives comprehensive explanation of the cell metabolism and the metabolic regulation mechanisms of a variety of micro-organisms. Then the efficient metabolic engineering approaches are explained to properly design the microbial cell factories for the efficient cell growth and biofuel and biochemical production.

Download or read book Applied Bioengineering written by Toshiomi Yoshida and published by John Wiley & Sons. This book was released on 2017-01-12 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of the topic, highlighting recent developments, ongoing research trends and future directions. Experts from Europe, Asia and the US cover five core areas of imminent importance to the food, feed, pharmaceutical and water treatment industries in terms of sustainable and innovative processing and production. In the field of enzyme engineering, they summarize historic developments and provide an overview of molecular enzyme engineering, while also discussing key principles of microbial process engineering, including chapters on process development and control. Further sections deal with animal and plant cell culture engineering. The final section of the book deals with environmental topics and highlights the application of bioengineering principles in waste treatment and the recovery of valuable resources. With its cutting-edge visions, extensive discussions and unique perspectives, this is a ready reference for biotechnologists, bioengineers, bioengineers, biotechnological institutes, and environmental chemists.

Download or read book Systems Biology written by Andreas Kremling and published by CRC Press. This book was released on 2013-11-12 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on the latest research in the field, Systems Biology: Mathematical Modeling and Model Analysis presents many methods for modeling and analyzing biological systems, in particular cellular systems. It shows how to use predictive mathematical models to acquire and analyze knowledge about cellular systems. It also explores how the models are systematically applied in biotechnology. The first part of the book introduces biological basics, such as metabolism, signaling, gene expression, and control as well as mathematical modeling fundamentals, including deterministic models and thermodynamics. The text also discusses linear regression methods, explains the differences between linear and nonlinear regression, and illustrates how to determine input variables to improve estimation accuracy during experimental design. The second part covers intracellular processes, including enzymatic reactions, polymerization processes, and signal transduction. The author highlights the process–function–behavior sequence in cells and shows how modeling and analysis of signal transduction units play a mediating role between process and function. The third part presents theoretical methods that address the dynamics of subsystems and the behavior near a steady state. It covers techniques for determining different time scales, sensitivity analysis, structural kinetic modeling, and theoretical control engineering aspects, including a method for robust control. It also explores frequent patterns (motifs) in biochemical networks, such as the feed-forward loop in the transcriptional network of E. coli. Moving on to models that describe a large number of individual reactions, the last part looks at how these cellular models are used in biotechnology. The book also explains how graphs can illustrate the link between two components in large networks with several interactions.

Download or read book Analysis Of Biological Systems written by Corrado Priami and published by World Scientific. This book was released on 2015-01-29 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling is fast becoming fundamental to understanding the processes that define biological systems. High-throughput technologies are producing increasing quantities of data that require an ever-expanding toolset for their effective analysis and interpretation. Analysis of high-throughput data in the context of a molecular interaction network is particularly informative as it has the potential to reveal the most relevant network modules with respect to a phenotype or biological process of interest.Analysis of Biological Systems collects classical material on analysis, modeling and simulation, thereby acting as a unique point of reference. The joint application of statistical techniques to extract knowledge from big data and map it into mechanistic models is a current challenge of the field, and the reader will learn how to build and use models even if they have no computing or math background. An in-depth analysis of the currently available technologies, and a comparison between them, is also included. Unlike other reference books, this in-depth analysis is extended even to the field of language-based modeling. The overall result is an indispensable, self-contained and systematic approach to a rapidly expanding field of science.

Download or read book Systems Biology Modeling and Analysis written by Alexis White and published by . This book was released on 2019-06-05 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems biology is defined as the mathematical and computational modeling of biological systems. It is also integral to the field of bioinformatics. The concepts of systems biology are used across several fields of study such as genomics, phonemics, proteomics, etc. The field also involves the study of metabolic and cell signaling networks to understand the properties and functions of cells, tissues, etc. in living organisms. This book elucidates the concepts and innovative models around prospective developments with respect to systems biology. The topics included in this book are of utmost significance and bound to provide incredible insights to the readers. With its detailed analyses and data, this book will prove immensely beneficial to professionals and students involved in this area at various levels.

Download or read book Systems Biology Mathematical Modeling and Model Analysis written by Lynda Feidan and published by . This book was released on 2019-06-05 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems biology is the mathematical and computational modeling of complex biological systems. It is an interdisciplinary field of study concerned with complex interactions within biological systems. One of the primary objectives of systems biology is to discover and model emergent properties and explore the properties of cells, tissues and organisms functioning as a system. The foundations of systems biology are control theory and cybernetics, quantitative modeling of enzyme kinetics, synergetics, simulations for the study of neurophysiology and the mathematical modeling of population dynamics. The topics covered in this extensive book deal with the core aspects of mathematical modeling and model analysis in the discipline of systems biology. For all readers who are interested in this field, the case studies included in this book will serve as an excellent guide to develop a comprehensive understanding. It aims to equip students and experts with the advanced topics and upcoming concepts in this area of study.

Download or read book Membrane Computing written by Erzsebet Csuhaj-Varju and published by Springer. This book was released on 2013-02-26 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Membrane Computing, CMC 2012, held in Budapest, Hungary, in August 2012. The 21 revised selected papers presented together with 6 invited lectures were carefully reviewed and selected from 25 papers presented at the conference. The book also deals with membrane systems, also called P systems, which are distributed and parallel algebraic models processing multisets of objects in a localized manner (evolution rules and evolving objects are encapsulated into compartments delimited by membranes), with an essential role played by the communication among compartments and with the environment.

Download or read book Environmental Health Perspectives written by and published by . This book was released on 1993 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Systems Biology written by Edda Klipp and published by John Wiley & Sons. This book was released on 2016-06-27 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists. It comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.

Download or read book The Regulation of Cellular Systems written by Reinhart Heinrich and published by Springer. This book was released on 2012-02-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is no doubt that nowadays, biology benefits greatly from mathematics. In particular, cellular biology is, besides population dynamics, a field where tech niques of mathematical modeling are widely used. This is reflected by the large number of journal articles and congress proceedings published every year on the dynamics of complex cellular processes. This applies, among others, to metabolic control analysis, where the number of articles on theoretical fundamentals and experimental applications has increased for about 15 years. Surprisingly, mono graphs and textbooks dealing with the modeling of metabolic systems are still exceptionally rare. We think that now time is ripe to fill this gap. This monograph covers various aspects of the mathematical description of enzymatic systems, such as stoichiometric analysis, enzyme kinetics, dynamical simulation, metabolic control analysis, and evolutionary optimization. We believe that, at present, these are the main approaches by which metabolic systems can be analyzed in mathematical terms. Although stoichiometric analysis and enzyme kinetics are classical fields tracing back to the beginning of our century, there are intriguing recent developments such as detection of elementary biochemical syn thesis routes and rate laws for the situation of metabolic channeling, which we have considered worth being included. Evolutionary optimization of metabolic systems is a rather new field with promising prospects. Its goal is to elucidate the structure and functions of these systems from an evolutionary viewpoint.

Download or read book Infobiotics written by Vincenzo Manca and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents topics in discrete biomathematics. Mathematics has been widely used in modeling biological phenomena. However, the molecular and discrete nature of basic life processes suggests that their logic follow principles that are intrinsically based on discrete and informational mechanisms. The ultimate reason of polymers, as key element of life, is directly based on the computational power of strings, and the intrinsic necessity of metabolism is related to the mathematical notion of multiset. The switch of the two roots of bioinformatics suggests a change of perspective. In bioinformatics, the biologists ask computer scientists to assist them in processing biological data. Conversely, in infobiotics mathematicians and computer scientists investigate principles and theories yielding new interpretation keys of biological phenomena. Life is too important to be investigated by biologists alone, and though computers are essential to process data from biological laboratories, many fundamental questions about life can be appropriately answered by a perspicacious intervention of mathematicians, computer scientists, and physicists, who will complement the work of chemists, biochemists, biologists, and medical investigators. The volume is organized in seven chapters. The first part is devoted to research topics (Discrete information and life, Strings and genomes, Algorithms and Biorhythms, Life Strategies), the second one to mathematical backgrounds (Numbers and Measures, Languages and Grammars, Combinations and Chances).

Download or read book Systems and Synthetic Metabolic Engineering written by Yanfeng Liu and published by Academic Press. This book was released on 2020-07-10 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems and Synthetic Metabolic Engineering provides an overview of the development of metabolic engineering within medicine that is fueled by systems and synthetic biology. These newly developed, successful strategies of metabolic engineering guide the audience on how to propose and test proper strategies for metabolic engineering research. In addition to introductory, regulatory and challenges in the field, the book also covers dynamic control and autonomous regulation to control cell metabolism, along with computational modeling and industrial applications. The book is written by leaders in the field, making it ideal for synthetic biologists, researchers, students and anyone working in this area. Discusses the current progress of metabolic engineering, focusing on systems biology and synthetic biology Covers introductory, regulatory, strategies, production and challenges in the field Written technically for synthetic biologists, researchers, students, industrialists, policymakers and stakeholders

Download or read book Modeling Biological Systems with Cybernetic Control Laws and Steady State Flux Distributions written by Kritika Kashyap and published by . This book was released on 2019 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metabolism is a process by which organisms extract energy from its environment to power itself. The interplay between cellular environment, nutrients present and the chemical reactions occurring within the organisms dictate the execution of metabolism. Single cell microbes, such as E. coli, P. putida and yeast, can be redesigned to be miniature chemical reactors that transform sugars and other carbon sources into biofuels. Enhancing bio-process conditions can stimulate the production of therapeutic proteins in mammalian cells. Hence, understanding the strategy of metabolism in organisms would help us build better technologies for controlling formation of end products like cell mass, biofuels,therapeutic proteins etc. Steady state flux analysis techniques have gained a lot of popularity in the field of systems biology due to successful qualitative analysis of large scale metabolic networks. This technique has been used to improve production of ethanol in Saccharomyces cerevisiae and lactic acid in Escherichia coli (E. coli), to name a few examples. Despite this success, its major shortcoming re-mains in providing quantitative measurements of metabolite profiles that can be further validated with experiments. Previous cybernetic models have accurately validated experimental results and described molecular processes governing metabolism, but their application is limited to small scale metabolic net-works. We have built a mathematical framework that combines solutions from steady state flux analysis with cybernetic principles to overcome the challenge of describing metabolic data for large scale metabolic networks. We have established computational models that can capture dynamic metabolic regulation in bacterial and mammalian cells. These models integrate chemical kinetics, mass balances, enzyme catalysis and stoichiometric laws to predict biology that can help us optimize cellular machinery towards bioproduct formation.

Download or read book Applications of Membrane Computing in Systems and Synthetic Biology written by Pierluigi Frisco and published by Springer Science & Business Media. This book was released on 2013-12-17 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Membrane Computing was introduced as a computational paradigm in Natural Computing. The models introduced, called Membrane (or P) Systems, provide a coherent platform to describe and study living cells as computational systems. Membrane Systems have been investigated for their computational aspects and employed to model problems in other fields, like: Computer Science, Linguistics, Biology, Economy, Computer Graphics, Robotics, etc. Their inherent parallelism, heterogeneity and intrinsic versatility allow them to model a broad range of processes and phenomena, being also an efficient means to solve and analyze problems in a novel way. Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area. This book is the result of the need to collect, in an organic way, different facets of this paradigm. The chapters of this book, together with the web pages accompanying them, present different applications of Membrane Systems to Biology. Deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies show the full potential of this framework. The book is addressed to researchers interested in applications of discrete biological models and the interplay between Membrane Systems and other approaches to analyze complex systems.

Download or read book Modelling Analysis and Optimization of Biosystems written by Werner Krabs and published by Springer. This book was released on 2009-09-02 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems.

Download or read book Biochemical Systems Toolbox written by Gautam Goel and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of biochemical systems modeling and analysis is faced with an unprecedented flood of data from experimental methodologies of molecular biology. While these techniques continue to leapfrog ahead in the speed, volume and finesse with which they generate data, the methods of data analysis and interpretation, however, are still playing the 1catch-up2 game. The notions of systems analysis have found a new foothold, under the banner of 1Systems Biology2, with the promise of uncovering the rationale for the designs of biological systems from their parts lists, as they are generated by experimentation and sorted and managed by bioinformatics tools. With an aim to complement hypothesis-driven and reductionistic biological research, and not replace it, a systems biologist relies on the tools of mathematical and computational modeling to be able to contribute meaningfully to any ongoing bio-molecular systems research. These systems analysis tools, however, should not only have their roots steeped well in the theoretical foundations of biochemistry, mathematics and numerical computation, but they should be married to a framework that facilitates the required systems way of thought for all its users 6 computational scientists, experimentalists and molecular biologists alike. Hopefully, such framework-based tools would go beyond just providing fancy GUIs, numerical packages for integrating ODEs and/or optimization libraries. The intent of this thesis is to present a framework and toolbox for biochemical systems modeling, with an application in metabolic pathway analysis and/or metabolic engineering. The research presented here builds upon the tenets of a very well established and generic approach to biological systems modeling and analysis, called Biochemical Systems Theory (BST), which is almost forty years old. The nuances of modeling and practical hurdles to analysis are presented in the context of a real-time case study of analyzing the glucolytic pathway in the bacterium Lactococcus lactis. Alongside, the thesis presents the features of a MATLAB-based software application that has been built upon the framework of BST and is aptly named as Biochemical Systems Toolbox (BSTBox). The thesis presents novel contributions, made by the author during the course of his research, to state-of-the-art techniques in parameter estimation, and robustness & sensitivity analysis -- topics that, as this thesis will show, remain to be the most restrictive bottlenecks in the world of biological systems modeling and analysis.