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A Mathematical Approach to Protein Biophysics

Price range: ₹7,329.00 through ₹10,248.00
Exercises included at the end of every chapter Mixes protein biology, mathematics, and computing, supporting a multidisciplinary class Includes detailed notes section and glossary Explains many protein features from a more in-depth perspective Includes supplementary material: sn.pub/extras
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A Mathematical Approach to Protein Biophysics

Price range: ₹7,329.00 through ₹10,248.00
Exercises included at the end of every chapter Mixes protein biology, mathematics, and computing, supporting a multidisciplinary class Includes detailed notes section and glossary Explains many protein features from a more in-depth perspective Includes supplementary material: sn.pub/extras
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Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Examples, and Analysis

Original price was: ₹7,284.00.Current price is: ₹5,827.00.
This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. QR codes are included within the text for easy access to the simulator. With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION “An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results.” —Mathematical Reviews
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Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Examples, and Analysis

Original price was: ₹7,284.00.Current price is: ₹5,827.00.
This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice. New in this edition are chapters covering cell migration, tissue development, and cancer dynamics, as well as updated references and new research topic suggestions that reflect the rapid development of the field. The book begins with an introduction to pattern-forming principles in biology and the various mathematical modeling techniques that can be used to analyze them. Cellular automaton models are then discussed in detail for different types of cellular processes and interactions, including random movement, cell migration, adhesive cell interaction, alignment and cellular swarming, growth processes, pigment cell pattern formation, tissue development, tumor growth and invasion, and Turing-type patterns and excitable media. In the final chapter, the authors critically discuss possibilities and limitations of the cellular automaton approach in modeling various biological applications, along with future research directions. Suggestions for research projects are provided throughout the book to encourage additional engagement with the material, and an accompanying simulator is available for readers to perform their own simulations on several of the models covered in the text. QR codes are included within the text for easy access to the simulator. With its accessible presentation and interdisciplinary approach, Cellular Automaton Modeling of Biological Pattern Formation is suitable for graduate and advanced undergraduate students in mathematical biology, biological modeling, and biological computing. It will also be a valuable resource for researchers and practitioners in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science. PRAISE FOR THE FIRST EDITION “An ideal guide for someone with a mathematical or physical background to start exploring biological modelling. Importantly, it will also serve as an excellent guide for experienced modellers to innovate and improve their methodologies for analysing simulation results.” —Mathematical Reviews
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Foundations of Chemical Reaction Network Theory

Original price was: ₹13,851.00.Current price is: ₹11,082.00.
This book provides an authoritative introduction to the rapidly growing field of chemical reaction network theory. In particular, the book presents deep and surprising theorems that relate the graphical and algebraic structure of a reaction network to qualitative properties of the intricate system of nonlinear differential equations that the network induces. Over the course of three main parts, Feinberg provides a gradual transition from a tutorial on the basics of reaction network theory, to a survey of some of its principal theorems, and, finally, to a discussion of the theory’s more technical aspects. Written with great clarity, this book will be of value to mathematicians and to mathematically-inclined biologists, chemists, physicists, and engineers who want to contribute to chemical reaction network theory or make use of its powerful results.
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Foundations of Chemical Reaction Network Theory

Original price was: ₹13,851.00.Current price is: ₹11,082.00.
This book provides an authoritative introduction to the rapidly growing field of chemical reaction network theory. In particular, the book presents deep and surprising theorems that relate the graphical and algebraic structure of a reaction network to qualitative properties of the intricate system of nonlinear differential equations that the network induces. Over the course of three main parts, Feinberg provides a gradual transition from a tutorial on the basics of reaction network theory, to a survey of some of its principal theorems, and, finally, to a discussion of the theory’s more technical aspects. Written with great clarity, this book will be of value to mathematicians and to mathematically-inclined biologists, chemists, physicists, and engineers who want to contribute to chemical reaction network theory or make use of its powerful results.
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Stochastic Chemical Reaction Systems in Biology

Original price was: ₹9,160.00.Current price is: ₹7,329.00.
Provides a systematic mathematical treatment of biological population dynamics in terms of probability theory Introduces a new theoretical framework for nonequilibrium statistical physics with applications to biology Offers a coherent approach to biophysics and physical chemistry based on stochastic kinetic models
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Stochastic Chemical Reaction Systems in Biology

Original price was: ₹9,160.00.Current price is: ₹7,329.00.
Provides a systematic mathematical treatment of biological population dynamics in terms of probability theory Introduces a new theoretical framework for nonequilibrium statistical physics with applications to biology Offers a coherent approach to biophysics and physical chemistry based on stochastic kinetic models
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