Author: Nikolay V Dokholyan
Publisher: Springer Science & Business Media
ISBN: 1461421454
Category : Science
Languages : en
Pages : 360
Book Description
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.
Computational Modeling of Biological Systems
Author: Nikolay V Dokholyan
Publisher: Springer Science & Business Media
ISBN: 1461421454
Category : Science
Languages : en
Pages : 360
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 1461421454
Category : Science
Languages : en
Pages : 360
Book Description
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.
Computational Modeling of Biological System From Molecules to Pathways
Author: Nikolay Ed Dokholyan
Publisher:
ISBN:
Category : Biological Processses
Languages : en
Pages : 364
Book Description
Publisher:
ISBN:
Category : Biological Processses
Languages : en
Pages : 364
Book Description
Computational Modeling of Biological Systems
Author:
Publisher: Springer
ISBN: 9781461421474
Category :
Languages : en
Pages : 372
Book Description
Publisher: Springer
ISBN: 9781461421474
Category :
Languages : en
Pages : 372
Book Description
Computational Modeling of Biological Pathways
Author: Bing Liu
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847372110
Category :
Languages : en
Pages : 176
Book Description
Quantitative modeling of biopathway dynamics is crucial to the system-level understanding of cellular functions and behavior. Currently, a common method of representing bio-pathways is through a system of ordinary differential equations (ODEs). However, calibrating and analyzing large ODE-based pathway models often requires a large number of numerical simulations. To address this issue, this book presents a probabilistic approximation approach. by which the analysis of ODE-based models can be considerably simplified. The applicability of these techniques has been by studying two existing pathways and a "live" pathway called the complement system in collaboration with biologists. Apart from improved performance, the crucial insights gained from the study of complement system could contribute to the development of immunomodulation therapies. This book should be useful to researches in Computational Systems Biology field, or anyone else who may be considering utilizing ODEs for their modeling efforts.
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847372110
Category :
Languages : en
Pages : 176
Book Description
Quantitative modeling of biopathway dynamics is crucial to the system-level understanding of cellular functions and behavior. Currently, a common method of representing bio-pathways is through a system of ordinary differential equations (ODEs). However, calibrating and analyzing large ODE-based pathway models often requires a large number of numerical simulations. To address this issue, this book presents a probabilistic approximation approach. by which the analysis of ODE-based models can be considerably simplified. The applicability of these techniques has been by studying two existing pathways and a "live" pathway called the complement system in collaboration with biologists. Apart from improved performance, the crucial insights gained from the study of complement system could contribute to the development of immunomodulation therapies. This book should be useful to researches in Computational Systems Biology field, or anyone else who may be considering utilizing ODEs for their modeling efforts.
Computational Modeling of Genetic and Biochemical Networks
Author: James M. Bower
Publisher: MIT Press
ISBN: 9780262524230
Category : Computers
Languages : en
Pages : 386
Book Description
How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.
Publisher: MIT Press
ISBN: 9780262524230
Category : Computers
Languages : en
Pages : 386
Book Description
How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.
Computational Systems Biology
Author: Jason McDermott
Publisher: Humana
ISBN:
Category : Computers
Languages : en
Pages : 622
Book Description
The recent confluence of high throughput methodology for biological data gathering, genome-scale sequencing, and computational processing power has driven a reinvention and expansion of the way we identify, infer, model, and store relationships between molecules, pathways, and cells in living organisms. In Computational Systems Biology, expert investigators contribute chapters which bring together biological data and computational and/or mathematical models of the data to aid researchers striving to create a system that provides both predictive and mechanistic information for a model organism. The volume is organized into five major sections involving network components, network inference, network dynamics, function and evolutionary system biology, and computational infrastructure for systems biology. As a volume of the highly successful Methods in Molecular BiologyTM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and up-to-date, Computational Systems Biology serves to motivate and inspire all those who wish to develop a complete description of a biological system.
Publisher: Humana
ISBN:
Category : Computers
Languages : en
Pages : 622
Book Description
The recent confluence of high throughput methodology for biological data gathering, genome-scale sequencing, and computational processing power has driven a reinvention and expansion of the way we identify, infer, model, and store relationships between molecules, pathways, and cells in living organisms. In Computational Systems Biology, expert investigators contribute chapters which bring together biological data and computational and/or mathematical models of the data to aid researchers striving to create a system that provides both predictive and mechanistic information for a model organism. The volume is organized into five major sections involving network components, network inference, network dynamics, function and evolutionary system biology, and computational infrastructure for systems biology. As a volume of the highly successful Methods in Molecular BiologyTM series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and up-to-date, Computational Systems Biology serves to motivate and inspire all those who wish to develop a complete description of a biological system.
Computational Modeling And Simulations Of Biomolecular Systems
Author: Benoit Roux
Publisher: World Scientific
ISBN: 9811232776
Category : Computers
Languages : en
Pages : 209
Book Description
This textbook originated from the course 'Simulation, Modeling, and Computations in Biophysics' that I have taught at the University of Chicago since 2011. The students typically came from a wide range of backgrounds, including biology, physics, chemistry, biochemistry, and mathematics, and the course was intentionally adapted for senior undergraduate students and graduate students. This is not a highly technical book dedicated to specialists. The objective is to provide a broad survey from the physical description of a complex molecular system at the most fundamental level, to the type of phenomenological models commonly used to represent the function of large biological macromolecular machines.The key conceptual elements serving as building blocks in the formulation of different levels of approximations are introduced along the way, aiming to clarify as much as possible how they are interrelated. The only assumption is a basic familiarity with simple mathematics (calculus and integrals, ordinary differential equations, matrix linear algebra, and Fourier-Laplace transforms).
Publisher: World Scientific
ISBN: 9811232776
Category : Computers
Languages : en
Pages : 209
Book Description
This textbook originated from the course 'Simulation, Modeling, and Computations in Biophysics' that I have taught at the University of Chicago since 2011. The students typically came from a wide range of backgrounds, including biology, physics, chemistry, biochemistry, and mathematics, and the course was intentionally adapted for senior undergraduate students and graduate students. This is not a highly technical book dedicated to specialists. The objective is to provide a broad survey from the physical description of a complex molecular system at the most fundamental level, to the type of phenomenological models commonly used to represent the function of large biological macromolecular machines.The key conceptual elements serving as building blocks in the formulation of different levels of approximations are introduced along the way, aiming to clarify as much as possible how they are interrelated. The only assumption is a basic familiarity with simple mathematics (calculus and integrals, ordinary differential equations, matrix linear algebra, and Fourier-Laplace transforms).
Computational Modeling of Gene Regulatory Networks
Author: Hamid Bolouri
Publisher: Imperial College Press
ISBN: 1848162200
Category : Medical
Languages : en
Pages : 341
Book Description
This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
Publisher: Imperial College Press
ISBN: 1848162200
Category : Medical
Languages : en
Pages : 341
Book Description
This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
Transactions on Computational Systems Biology XI
Author: Corrado Priami
Publisher: Springer Science & Business Media
ISBN: 364204185X
Category : Computers
Languages : en
Pages : 343
Book Description
This issue on Computational Models for Cell Processes is based on a workshop that took place in Turku, Finland, May 2008. The papers span a mix of approaches to systems biology, ranging from quantitative techniques to computing paradigms inspired by biology.
Publisher: Springer Science & Business Media
ISBN: 364204185X
Category : Computers
Languages : en
Pages : 343
Book Description
This issue on Computational Models for Cell Processes is based on a workshop that took place in Turku, Finland, May 2008. The papers span a mix of approaches to systems biology, ranging from quantitative techniques to computing paradigms inspired by biology.
Systems Biology
Author: Andreas Kremling
Publisher: CRC Press
ISBN: 1466567902
Category : Mathematics
Languages : en
Pages : 379
Book Description
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
Publisher: CRC Press
ISBN: 1466567902
Category : Mathematics
Languages : en
Pages : 379
Book Description
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