Models and Algorithms for Biomolecules and Molecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Models and Algorithms for Biomolecules and Molecular Networks write by Bhaskar DasGupta. This book was released on 2016-01-26. Models and Algorithms for Biomolecules and Molecular Networks available 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
Models and Algorithms for Biomolecules and Molecular Networks
Models and Algorithms for Biomolecules and Molecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Models and Algorithms for Biomolecules and Molecular Networks write by Bhaskar DasGupta. This book was released on 2016-01-06. Models and Algorithms for Biomolecules and Molecular Networks available 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
Modeling Biomolecular Networks in Cells
Modeling Biomolecular Networks in Cells - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling Biomolecular Networks in Cells write by Luonan Chen. This book was released on 2010-07-05. Modeling Biomolecular Networks in Cells available 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.
Modeling and Analysis of Bio-molecular Networks
Modeling and Analysis of Bio-molecular Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling and Analysis of Bio-molecular Networks write by Jinhu Lü. This book was released on 2020-12-06. Modeling and Analysis of Bio-molecular Networks available 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.
Introduction to Protein Structure Prediction
Introduction to Protein Structure Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Protein Structure Prediction write by Huzefa Rangwala. This book was released on 2011-03-16. Introduction to Protein Structure Prediction available 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.
