Related books on 'protein-interaction'
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by: Arthur M. Lesk publisher: Oxford University Press, USA, published: 2010-05-20 ASIN: 0199541302 EAN: 9780199541300 sales rank: 664988 Designed for students in biology, biochemistry, and biomedicine, Introduction to Protein Science, Second Edition, provides a wide-ranging introduction to the contemporary study of proteins in health and disease. The text describes basic principles of protein structure and methods for studying them, illustrates the wide variety of functions that proteins have, and shows how their structures and functions are closely linked. Introduction to Protein Science, Second Edition, relates the study of proteins to the context of modern high-throughput data streams of genomics and proteomics. It also provides a balanced treatment of the relationship between computational and experimental methods. The text is enhanced by marginal notes, exercises, problems, and "weblems" that develop students' database and computational server skills. An updated and expanded Companion Website offers resources for students and instructors. New to this edition: * Coverage of new developments in the field, including high-throughput methods * A new chapter on enzyme kinetics * Extended treatments of such topics as protein evolution and the immune system * New pedagogical features including "key points" and "Proteins in Health and Disease" boxes * New end-of-chapter exercises, problems, and "weblems" |
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publisher: Springer, published: 2011-01-11 ASIN: 364217082X EAN: 9783642170829 sales rank: 2175024 In this volume, the editors have collected the knowledgeable insights of a number of leaders in this field - researchers who have achieved success in addressing the difficult problem of inhibiting protein-protein interactions. These researchers describe their unique approaches, and share experiences, results, thoughts, and opinions. The content of the articles is rich, and in terms of scope ranges from generalized approaches to specific case studies. There are various focal points, including methodologies and the molecules themselves. Ultimately, there are numerous lessons to be taken away from this collection, and the editors hope that this snapshot of the current state of the art in developing protein-protein inhibitors not only pays tribute to the past successes, but also generates excitement about the future potential of this field |
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by: Richard Durbin publisher: Cambridge University Press, published: 1998-05-13 ASIN: 0521629713 EAN: 9780521629713 sales rank: 176204 Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analyzing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it is accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time presents the state of the art in this new and important field. |
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by: A. Travers publisher: Springer, published: 1993-01-01 ASIN: 0412259907 EAN: 9780412259906 sales rank: 2759672 The binding of proteins to DNA and the manipulation of DNA by proteins are crucial aspects of the biological role of DNA in the living cell. This book provides a comprehensive and lucid discussion of the molecular interactions involved. |
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publisher: Humana Press, published: 2010-11-19 ASIN: 1617377570 EAN: 9781617377570 sales rank: 3329181 This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners. |
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publisher: Wiley-Interscience, published: 2004-10-29 ASIN: 0471478784 EAN: 9780471478782 sales rank: 560142 Reviews of the Second Edition "In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. We are all in their debt." --Eric Lander, from the Foreword to the Second Edition "The editors and the chapter authors of this book are to be applauded for providing biologists with lucid and comprehensive descriptions of essential topics in bioinformatics. This book is easy to read, highly informative, and certainly timely. It is most highly recommended for students and for established investigators alike, for anyone who needs to know how to access and use the information derived in and from genomic sequencing projects." --Trends in Genetics "It is an excellent general bioinformatics text and reference, perhaps even the best currently available . . . Congratulations to the authors, editors, and publisher for producing a weighty, authoritative, readable, and attractive book." --Briefings in Bioinformatics "This book, written by the top scientists in the field of bioinformatics, is the perfect choice for every molecular biology laboratory." --The Quarterly Review of Biology This fully revised version of a world-renowned bestseller provides readers with a practical guide covering the full scope of key concepts in bioinformatics, from databases to predictive and comparative algorithms. Using relevant biological examples, the book provides background on and strategies for using many of the most powerful and commonly used computational approaches for biological discovery. This Third Edition reinforces key concepts that have stood the test of time while making the reader aware of new and important developments in this fast-moving field. With a new full-color and enlarged page design, Bioinformatics, Third Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists. This new edition features: * New chapters on genomic databases, predictive methods using RNA sequences, sequence polymorphisms, protein structure prediction, intermolecular interactions, and proteomic approaches for protein identification * Detailed worked examples illustrating the strategic use of the concepts presented in each chapter, along with a collection of expanded,more rigorous problem sets suitable for classroom use * Special topic boxes and appendices highlighting experimental strategies and advanced concepts * Annotated reference lists, comprehensive lists of relevant Web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics Bioinformatics, Third Edition is essential reading for researchers, instructors, and students of all levels in molecular biology and bioinformatics, as well as for investigators involved in genomics, clinical research, proteomics, and computational biology. |
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publisher: Springer, published: 2010-10-06 ASIN: 0387928073 EAN: 9780387928074 sales rank: 927467 Depite the rapid expansion of the field of biophysics, there are very few books that comprehensively treat specific topics in this area. Recently, the field of single molecule biophysics has developed very quickly, and a few books specifically treating single molecule methods are beginning to appear. However, the promise of single molecule biophysics is to contribute to the understanding of specific fields of biology using new methods. This book would focus on the specific topic of the biophysics of DNA-protein interactions, and would include the use of new approaches, including both bulk methods as well as single molecule methods. This would make the book attractive to anyone working in the general area of DNA-protein interactions, which is of course a much wider market than just single molecule biophysicists or even biophysicists. The subject of the book will be the biophysics of DNA-protein interactions, and will include new methods and results that describe the physical mechanism by which proteins interact with DNA. For example, there has been much recent work on the mechanism by which proteins search for specific binding sites on DNA. A few chapters will be devoted to experiments and theory that shed light on this important problem. We will also cover proteins that alter DNA properties to facilitate interactions important for transcription or replication. Another section of the book will cover the biophysical mechanism by which motor proteins interact with DNA. Finally, we will cover larger protein-DNA complexes, such as replication forks, recombination complexes, DNA repair interactions, and their chromatin context. |
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publisher: CRC Press, published: 2009-06-26 ASIN: 1420070053 EAN: 9781420070057 sales rank: 2262448 Often considered the workhorse of the cellular machinery, proteins are responsible for functions ranging from molecular motors to signaling. The broad recognition of their involvement in all cellular processes has led to focused efforts to predict their functions from sequences, and if available, from their structures. An overview of current research directions, Computational Protein-Protein Interactions examines topics in the prediction of protein-protein interactions, including interference with protein-protein interactions and their design. Explores Computational Approaches to Understanding Protein-Protein Interactions Outlining fundamental and applied aspects of the usefulness of computations when approaching protein-protein interactions, this book incorporates different views of the same biochemical problem from sequence to structure to energetics. It covers protein-protein interaction prediction and dynamics, design, drug design for inhibition, and uses for the prediction of function. The text provides general chapters that overview the topic and also includes advanced material. The chapters detail the complexity of protein interaction studies and discuss potential caveats. Addresses the Next Big Problem in Molecular Biology While it is important to predict protein associations, this is a daunting task. Edited by two experts in the field and containing contributions from those at the forefront of research, the book provides a basic outline of major directions in computational protein-protein interactions research at the heart of functional genomics and crucial for drug discovery. It addresses the next big problem in molecular biology: how to create links between all the pieces of the cell jigsaw puzzle. |
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publisher: Springer, published: 2005-12-21 ASIN: 0387245316 EAN: 9780387245317 sales rank: 3206527 The rapidly evolving field of protein science has now come to realize the ubiquity and importance of protein-protein interactions. It had been known for some time that proteins may interact with each other to form functional complexes, but it was thought to be the property of only a handful of key proteins. However, with the advent of high throughput proteomics to monitor protein-protein interactions at an organism level, we can now safely state that protein-protein interactions are the norm and not the exception. Thus, protein function must be understood in the larger context of the various binding complexes that each protein may form with interacting partners at a given time in the life cycle of a cell. Proteins are now seen as forming sophisticated interaction networks subject to remarkable regulation. The study of these interaction networks and regulatory mechanism, which I would like to term "systems proteomics," is one of the thriving fields of proteomics. The bird-eye view that systems proteomics offers should not however mask the fact that proteins are each characterized by a unique set of physical and chemical properties. In other words, no protein looks and behaves like another. This complicates enormously the design of high-throughput proteomics methods. Unlike genes, which, by and large, display similar physico-chemical behaviors and thus can be easily used in a high throughput mode, proteins are not easily amenable to the same treatment. It is thus important to remind researchers active in the proteomics field the fundamental basis of protein chemistry. This book attempts to bridge the two extreme ends of protein science: on one end, systems proteomics, which describes, at a system level, the intricate connection network that proteins form in a cell, and on the other end, protein chemistry and biophysics, which describe the molecular properties of individual proteins and the structural and thermodynamic basis of their interactions within the network. Bridging the two ends of the spectrum is bioinformatics and computational chemistry. Large data sets created by systems proteomics need to be mined for meaningful information, methods need to be designed and implemented to improve experimental designs, extract signal over noise, and reject artifacts, and predictive methods need to be worked out and put to the test. Computational chemistry faces similar challenges. The prediction of binding thermodynamics of protein-protein interaction is still in its infancy. Proteins are large objects, and simplifying assumptions and shortcuts still need to be applied to make simulations manageable, and this despite exponential progress in computer technology. Finally, the study of proteins impacts directly on human health. It is an obvious statement to say that, for decades, enzymes, receptors, and key regulator proteins have been targeted for drug discovery. However, a recent and exciting development is the exploitation of our knowledge of protein-protein interaction for the design of new pharmaceuticals. This presents particular challenges because protein-protein interfaces are generally shallow and interactions are weak. However, progress is clearly being made and the book seeks to provide examples of successes in this area. |
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by: Aidong Zhang publisher: Cambridge University Press, published: 2009-04-06 ASIN: 0521888956 EAN: 9780521888950 sales rank: 2053421 The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research. |