Models And Algorithms For Biomolecules And Molecular Networks PDF Download
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Author | : Bhaskar DasGupta |
Publisher | : John Wiley & Sons |
Total Pages | : 264 |
Release | : 2016-01-06 |
Genre | : Science |
ISBN | : 1119162262 |
Download Models and Algorithms for Biomolecules and Molecular Networks Book in PDF, ePub and Kindle
By 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 | : Bhaskar DasGupta |
Publisher | : John Wiley & Sons |
Total Pages | : 260 |
Release | : 2016-01-26 |
Genre | : Science |
ISBN | : 0470601930 |
Download Models and Algorithms for Biomolecules and Molecular Networks Book in PDF, ePub and Kindle
By 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 | : Luonan Chen |
Publisher | : Springer Science & Business Media |
Total Pages | : 343 |
Release | : 2010-07-05 |
Genre | : Technology & Engineering |
ISBN | : 1849962146 |
Download Modeling Biomolecular Networks in Cells Book in PDF, ePub and Kindle
Modeling 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.
Author | : Adam Liwo |
Publisher | : Springer |
Total Pages | : 851 |
Release | : 2018-12-19 |
Genre | : Technology & Engineering |
ISBN | : 3319958437 |
Download Computational Methods to Study the Structure and Dynamics of Biomolecules and Biomolecular Processes Book in PDF, ePub and Kindle
This book provides a comprehensive overview of modern computer-based techniques for analyzing the structure, properties and dynamics of biomolecules and biomolecular processes. It is organized in four main parts; the first one deals with methodology of molecular simulations; the second one with applications of molecular simulations; the third one introduces bioinformatics methods and the use of experimental information in molecular simulations; the last part reports on selected applications of molecular quantum mechanics. This second edition has been thoroughly revised and updated to include the latest progresses made in the respective field of research.
Author | : Tamar Schlick |
Publisher | : Royal Society of Chemistry |
Total Pages | : 355 |
Release | : 2012 |
Genre | : Science |
ISBN | : 1849734623 |
Download Innovations in Biomolecular Modeling and Simulations Book in PDF, ePub and Kindle
This two volume set describes innovations in biomolecular modeling and simulation, in both the algorithmic and application fronts.
Author | : Mourad Elloumi |
Publisher | : John Wiley & Sons |
Total Pages | : 1027 |
Release | : 2011-04-04 |
Genre | : Science |
ISBN | : 1118101987 |
Download Algorithms in Computational Molecular Biology Book in PDF, ePub and Kindle
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
Author | : John Joseph Langone |
Publisher | : Gulf Professional Publishing |
Total Pages | : 864 |
Release | : 1991 |
Genre | : Antigen-antibody reactions |
ISBN | : 9780121821036 |
Download Molecular Design and Modeling Book in PDF, ePub and Kindle
Computer-based design and modeling, computational approaches, and instrumental methods for elucidating molecular mechanisms of protein folding and ligand-acceptor interactions are included in Volumes 202 and 203, as are genetic and chemical methods for the production of functional molecules including antibodies and antigens, enzymes, receptors, nucleic acids and polysaccharides, and drugs.
Author | : Jinhu Lü |
Publisher | : Springer Nature |
Total Pages | : 464 |
Release | : 2020-12-06 |
Genre | : Science |
ISBN | : 981159144X |
Download Modeling and Analysis of Bio-molecular Networks Book in PDF, ePub and Kindle
This 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 | : Luonan Chen |
Publisher | : John Wiley & Sons |
Total Pages | : 416 |
Release | : 2009-06-29 |
Genre | : Computers |
ISBN | : 9780470488058 |
Download Biomolecular Networks Book in PDF, ePub and Kindle
Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function. This book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology approach. Readers will get comprehensive coverage of analyzing biomolecular networks in cellular systems based on available experimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated in depth with specific biological problems and novel computational methods: GENE NETWORKS—Transcriptional regulation; reconstruction of gene regulatory networks; and inference of transcriptional regulatory networks PROTEIN INTERACTION NETWORKS—Prediction of protein-protein interactions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction of protein function METABOLIC NETWORKS AND SIGNALING NETWORKS—Analysis, reconstruction, and applications of metabolic networks; modeling and inference of signaling networks; and other topics and new trends In addition to theoretical results and methods, many computational software tools are referenced and available from the authors' Web sites. Biomolecular Networks is an indispensable reference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, and applied mathematics.
Author | : Huzefa Rangwala |
Publisher | : John Wiley & Sons |
Total Pages | : 611 |
Release | : 2011-03-16 |
Genre | : Science |
ISBN | : 111809946X |
Download Introduction to Protein Structure Prediction Book in PDF, ePub and Kindle
A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures. This indispensable book covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, readers will find an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction and they will acquire unique insight into the future applications of the modeled protein structures. The book begins with a thorough introduction to the protein structure prediction problem and is divided into four themes: a background on structure prediction, the prediction of structural elements, tertiary structure prediction, and functional insights. Within those four sections, the following topics are covered: Databases and resources that are commonly used for protein structure prediction The structure prediction flagship assessment (CASP) and the protein structure initiative (PSI) Definitions of recurring substructures and the computational approaches used for solving sequence problems Difficulties with contact map prediction and how sophisticated machine learning methods can solve those problems Structure prediction methods that rely on homology modeling, threading, and fragment assembly Hybrid methods that achieve high-resolution protein structures Parts of the protein structure that may be conserved and used to interact with other biomolecules How the loop prediction problem can be used for refinement of the modeled structures The computational model that detects the differences between protein structure and its modeled mutant Whether working in the field of bioinformatics or molecular biology research or taking courses in protein modeling, readers will find the content in this book invaluable.