Download Full eBooks in PDF
Cellular Biophysics And Modeling Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Cellular Biophysics And Modeling book. This book definitely worth reading, it is an incredibly well-written.
Author : Greg Conradi Smith
Publisher : Cambridge University Press
Page : 395 pages
File Size : 53,9 Mb
Release : 2019-03-14
Category : Mathematics
ISBN : 9781107005365
What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.
Author : Andreas Deutsch,Lutz Brusch,Helen Byrne,Gerda de Vries,Hanspeter Herzel
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 41,7 Mb
Release : 2007-06-15
Category : Mathematics
ISBN : 9780817645588
Volume I of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. The chapters are thematically organized into the following main areas: cellular biophysics, regulatory networks, developmental biology, biomedical applications, data analysis and model validation. The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.
Author : Nikolay V Dokholyan
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 41,8 Mb
Release : 2012-02-10
Category : Science
ISBN : 9781461421467
Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.
Author : Rob Phillips,Jane Kondev,Julie Theriot,Hernan Garcia
Publisher : Garland Science
Page : 1089 pages
File Size : 55,8 Mb
Release : 2012-10-29
Category : Science
ISBN : 9781134111589
Physical Biology of the Cell is a textbook for a first course in physical biology or biophysics for undergraduate or graduate students. It maps the huge and complex landscape of cell and molecular biology from the distinct perspective of physical biology. As a key organizing principle, the proximity of topics is based on the physical concepts that
Author : Magdalena Stolarska,Nicoleta Tarfulea
Publisher : Springer
Page : 301 pages
File Size : 50,7 Mb
Release : 2018-11-22
Category : Mathematics
ISBN : 9783319968421
This book contains a collection of original research articles and review articles that describe novel mathematical modeling techniques and the application of those techniques to models of cell motility in a variety of contexts. The aim is to highlight some of the recent mathematical work geared at understanding the coordination of intracellular processes involved in the movement of cells. This collection will benefit researchers interested in cell motility as well graduate students taking a topics course in this area.
Author : Andreas Kremling
Publisher : CRC Press
Page : 379 pages
File Size : 50,9 Mb
Release : 2013-11-12
Category : Mathematics
ISBN : 9781466567900
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 sy
Author : Pavel Kraikivski
Publisher : CRC Press
Page : 296 pages
File Size : 50,9 Mb
Release : 2013-04-12
Category : Science
ISBN : 9781926895369
This book covers a wide scope of biological approaches to such biological phenomena as cell division, motility, collective cell behavior, multicellular structures, morphogenesis, and tumor development. Over the past two decades, biologists have generated large sets of experimental data and discovered a lot of facts that need explanation. This biological boom attracts physicists who believe they can help to develop a theoretical framework in biology and explain complete biological phenomena using basic principles. This is the first book to present recent advances in biophysical studies of the different aspects of cell life. This book presents recent advances in biophysical studies of living cells and gives the impression that a combination of quantitative live cell observations, detailed biochemical and biophysical data, and mathematical modeling are capable to answer many important biological questions and to achieve a more complete understanding of such complex phenomena.
Author : Armin Kargol
Publisher : Morgan & Claypool Publishers
Page : 117 pages
File Size : 47,9 Mb
Release : 2019-03-29
Category : Science
ISBN : 9781643274102
All living matter is comprised of cells, small compartments isolated from the environment by a cell membrane and filled with concentrated solutions of various organic and inorganic compounds. Some organisms are single-cell, where all life functions are performed by that cell. Others have groups of cells, or entire organs, specializing in one particular function. The survival of the entire organism depends on all of its cells and organs fulfilling their roles. While the cells are studied by different sciences, they are seen differently by biologists, chemists, or physicists. Biologists concentrate their attention on cell structure and function. What does the cell consist of? Where are its organelles? What function does each organelle fulfil? From a chemists' point of view, a cell is a complex chemical reaction chamber where various molecules are synthesized or degraded. The main question is how these, sometimes very complicated chains of reactions are controlled. Finally, from a physics standpoint, one of the main questions is the physical movement of all these molecules between organelles within the cell, as well as their exchange with the extracellular medium. The aim of this book is to look into the basic physical phenomena occurring in cells. These physical transport processes facilitate chemical reactions in the cell and that in turn leads to the biological functions necessary for the cell to satisfy its role in the mother organism. Ultimately, the goals of every cell are to stay alive and to fulfil its function as a part of a larger organ or organism. This book is an inventory of physical transport processes occurring in cells while the second volume will be a closer look at how complex biological and physiological cell phenomena result from these very basic physical processes.
Author : David Holcman
Publisher : Springer
Page : 377 pages
File Size : 40,6 Mb
Release : 2017-10-04
Category : Mathematics
ISBN : 9783319626277
This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology. This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, one needs to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.
Author : Michael Kraus,Bernhard Wolf
Publisher : CRC Press
Page : 250 pages
File Size : 41,8 Mb
Release : 1995-07-31
Category : Science
ISBN : 0849347726
Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation of cell biological systems. This unique guide brings together the physiological, structural, molecular biological, and theoretical aspects of the signal transduction network that regulates growth and proliferation in normal and tumor cells. It provides comprehensive survey of functional and theoretical features of intracellular signal processing and introduces the concept of cellular self-organization. Exemplified by oscillatory calcium waves, strategies for the design of computer experiments are presented that can assist or even substitute for time-consuming biological experiments. The presented minimal model for proliferation-associated signal transduction clearly shows the alterations of the cellular signal network involved in neoplastic growth. This book will be useful to cell and molecular biologists, oncologists, physiologists, theoretical biologists, computer scientists, and all other researchers and students studying functional aspects of cellular signaling.
Author : Meyer B. Jackson
Publisher : Cambridge University Press
Page : 536 pages
File Size : 46,9 Mb
Release : 2006-01-12
Category : Science
ISBN : 052162441X
Molecular and Cellular Biophysics provides advanced undergraduate and graduate students with a foundation in the basic concepts of biophysics. Students who have taken physical chemistry and calculus courses will find this book an accessible and valuable aid in learning how these concepts can be used in biological research. The text provides a rigorous treatment of the fundamental theories in biophysics and illustrates their application with examples. Conformational transitions of proteins are studied first using thermodynamics, and subsequently with kinetics. Allosteric theory is developed as the synthesis of conformational transitions and association reactions. Basic ideas of thermodynamics and kinetics are applied to topics such as protein folding, enzyme catalysis and ion channel permeation. These concepts are then used as the building blocks in a treatment of membrane excitability. Through these examples, students will gain an understanding of the general importance and broad applicability of biophysical principles to biological problems.
Author : Andreas Deutsch,Rafael Bravo de la Parra,Rob J. de Boer,Odo Diekmann,Peter Jagers,Eva Kisdi,Mirjam Kretzschmar,Petr Lansky,Hans Metz
Publisher : Birkhäuser
Page : 0 pages
File Size : 43,7 Mb
Release : 2007-10-12
Category : Mathematics
ISBN : 081764556X
Volume II of this two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education. The work will be an excellent reference text for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.
Author : Brian P. Ingalls
Publisher : MIT Press
Page : 423 pages
File Size : 41,5 Mb
Release : 2022-06-07
Category : Science
ISBN : 9780262545822
An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.
Author : Marco Scianna,Luigi Preziosi
Publisher : CRC Press
Page : 300 pages
File Size : 45,9 Mb
Release : 2013-03-26
Category : Mathematics
ISBN : 9781466514799
This work shows how the cellular Potts model can be used as a framework for model building and how extended models can achieve even better biological practicality, accuracy, and predictive power. It focuses on ways to integrate and interface the basic cellular Potts model at the mesoscopic scale with approaches that accurately model microscopic dynamics. These extensions are designed to create a nested and hybrid environment, where the evolution of a biological system is realistically driven by the constant interplay and flux of information between the different levels of description.
Author : Daniel B. Forger
Publisher : MIT Press
Page : 369 pages
File Size : 50,9 Mb
Release : 2017-11-16
Category : Science
ISBN : 9780262036771
An introduction to the mathematical, computational, and analytical techniques used for modeling biological rhythms, presenting tools from many disciplines and example applications. All areas of biology and medicine contain rhythms, and these behaviors are best understood through mathematical tools and techniques. This book offers a survey of mathematical, computational, and analytical techniques used for modeling biological rhythms, gathering these methods for the first time in one volume. Drawing on material from such disciplines as mathematical biology, nonlinear dynamics, physics, statistics, and engineering, it presents practical advice and techniques for studying biological rhythms, with a common language. The chapters proceed with increasing mathematical abstraction. Part I, on models, highlights the implicit assumptions and common pitfalls of modeling, and is accessible to readers with basic knowledge of differential equations and linear algebra. Part II, on behaviors, focuses on simpler models, describing common properties of biological rhythms that range from the firing properties of squid giant axon to human circadian rhythms. Part III, on mathematical techniques, guides readers who have specific models or goals in mind. Sections on “frontiers” present the latest research; “theory” sections present interesting mathematical results using more accessible approaches than can be found elsewhere. Each chapter offers exercises. Commented MATLAB code is provided to help readers get practical experience. The book, by an expert in the field, can be used as a textbook for undergraduate courses in mathematical biology or graduate courses in modeling biological rhythms and as a reference for researchers.