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Author: Denis Thieffry
Publisher: Humana Press
Published: 2016-05-01
Total Pages: 560
ISBN-13: 9781493961566
DOWNLOAD EBOOKBacterial Molecular Networks provides authoritative descriptions of various experimental and computational methods that enable the characterization and analysis of molecular interaction networks.
Author: Ruth Heidelberger
Publisher: Academic Press
Published: 2009-01-27
Total Pages: 654
ISBN-13: 0080920837
DOWNLOAD EBOOKAn understanding of the nervous system at virtually any level of analysis requires an understanding of its basic building block, the neuron. From Molecules to Networks provides the solid foundation of the morphologic, biochemical, and biophysical properties of nerve cells. All chapters have been thoroughly revised for this second edition to reflect the significant advances of the past 5 years. The new edition expands on the network aspects of cellular neurobiology by adding a new chapter, Information Processing in Neural Networks, and on the relation of cell biological processes to various neurological diseases. The new concluding chapter illustrates how the great strides in understanding the biochemical and biophysical properties of nerve cells have led to fundamental insights into important aspects of neurodegenerative disease. Written and edited by leading experts in the field, the second edition completely and comprehensively updates all chapters of this unique textbook Discusses emerging new understanding of non-classical molecules that affect neuronal signaling Full colour, professional graphics throughout Includes two new chapters: Information Processing in Neural Networks - describes the principles of operation of neural networks and the key circuit motifs that are common to many networks in the nervous system. Molecular and Cellular Mechanisms of Neurodegenerative Disease - introduces the progress made in the last 20 years in elucidating the cellular and molecular mechanisms underlying brain disorders, including Amyotrophic Lateral Sclerosis (ALS), Parkinson disease, and Alzheimer’s disease
Author: Mir Wais Hosseini
Publisher: Springer Science & Business Media
Published: 2009-06-20
Total Pages: 173
ISBN-13: 3642013678
DOWNLOAD EBOOKAuthor: Arianna Bianchi
Publisher: Springer Nature
Published: 2019-10-02
Total Pages: 267
ISBN-13: 3030225836
DOWNLOAD EBOOKThe book presents nine mini-courses from a summer school, Dynamics of Biological Systems, held at the University of Alberta in 2016, as part of the prestigious seminar series: Séminaire de Mathématiques Supérieures (SMS). It includes new and significant contributions in the field of Dynamical Systems and their applications in Biology, Ecology, and Medicine. The chapters of this book cover a wide range of mathematical methods and biological applications. They - explain the process of mathematical modelling of biological systems with many examples, - introduce advanced methods from dynamical systems theory, - present many examples of the use of mathematical modelling to gain biological insight - discuss innovative methods for the analysis of biological processes, - contain extensive lists of references, which allow interested readers to continue the research on their own. Integrating the theory of dynamical systems with biological modelling, the book will appeal to researchers and graduate students in Applied Mathematics and Life Sciences.
Author: Mehmet Koyutürk
Publisher: Springer Science & Business Media
Published: 2011-09-22
Total Pages: 235
ISBN-13: 1461403200
DOWNLOAD EBOOKMolecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.
Author: Jinhu Lü
Publisher: Springer Nature
Published: 2020-12-06
Total Pages: 464
ISBN-13: 981159144X
DOWNLOAD EBOOKThis book addresses a number of questions from the perspective of complex systems: How can we quantitatively understand the life phenomena? How can we model life systems as complex bio-molecular networks? Are there any methods to clarify the relationships among the structures, dynamics and functions of bio-molecular networks? How can we statistically analyse large-scale bio-molecular networks? Focusing on the modeling and analysis of bio-molecular networks, the book presents various sophisticated mathematical and statistical approaches. The life system can be described using various levels of bio-molecular networks, including gene regulatory networks, and protein-protein interaction networks. It first provides an overview of approaches to reconstruct various bio-molecular networks, and then discusses the modeling and dynamical analysis of simple genetic circuits, coupled genetic circuits, middle-sized and large-scale biological networks, clarifying the relationships between the structures, dynamics and functions of the networks covered. In the context of large-scale bio-molecular networks, it introduces a number of statistical methods for exploring important bioinformatics applications, including the identification of significant bio-molecules for network medicine and genetic engineering. Lastly, the book describes various state-of-art statistical methods for analysing omics data generated by high-throughput sequencing. This book is a valuable resource for readers interested in applying systems biology, dynamical systems or complex networks to explore the truth of nature.
Author: Bhaskar DasGupta
Publisher: John Wiley & Sons
Published: 2016-01-06
Total Pages: 264
ISBN-13: 1119162262
DOWNLOAD EBOOKBy 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: John H. Byrne
Publisher: Academic Press
Published: 2014-05-23
Total Pages: 692
ISBN-13: 0123982677
DOWNLOAD EBOOKAn understanding of the nervous system at virtually any level of analysis requires an understanding of its basic building block, the neuron. The third edition of From Molecules to Networks provides the solid foundation of the morphological, biochemical, and biophysical properties of nerve cells. In keeping with previous editions, the unique content focus on cellular and molecular neurobiology and related computational neuroscience is maintained and enhanced. All chapters have been thoroughly revised for this third edition to reflect the significant advances of the past five years. The new edition expands on the network aspects of cellular neurobiology by adding new coverage of specific research methods (e.g., patch-clamp electrophysiology, including applications for ion channel function and transmitter release; ligand binding; structural methods such as x-ray crystallography). Written and edited by leading experts in the field, the third edition completely and comprehensively updates all chapters of this unique textbook and insures that all references to primary research represent the latest results. The first treatment of cellular and molecular neuroscience that includes an introduction to mathematical modeling and simulation approaches 80% updated and new content New Chapter on "Biophysics of Voltage-Gated Ion Channels" New Chapter on "Synaptic Plasticity" Includes a chapter on the Neurobiology of Disease Highly referenced, comprehensive and quantitative Full color, professional graphics throughout All graphics are available in electronic version for teaching purposes
Author: Jacques van Helden
Publisher: Humana Press
Published: 2011-12-08
Total Pages: 546
ISBN-13: 9781617793608
DOWNLOAD EBOOKNetwork-based representations have become pervasive in most fields in biology. Bacterial Molecular Networks: Methods and Protocols provides authoritative descriptions of various experimental and computational methods enabling the characterization and analysis of molecular interaction networks, with a focus on bacteria. Divided into three convenient sections, this volume provides extensive coverage of various experimental and in silico approaches aiming at the characterization of network components, addresses the presentation of computational approaches to analyze the topology of molecular networks, and further introduces a variety of methods and tools enabling scientists to generate qualitative or quantitative dynamical models of molecular processes in bacteria. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Bacterial Molecular Networks: Methods and Protocols is intended primarily for post-graduate students and researchers working in the field of experimental and computational microbiology and provides a combination of up-to-date reviews along with detailed protocols written by the developers of bioinformatics resources, such as databases and software tools.
Author: Luonan Chen
Publisher: Springer Science & Business Media
Published: 2010-07-05
Total Pages: 343
ISBN-13: 1849962146
DOWNLOAD EBOOKModeling 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.
