Protein Modules And Protein Protein Interactions

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Author:
Publisher: Elsevier
ISBN: 0080493750
Size: 12.93 MB
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Protein Modules And Protein Protein Interactions by


Original Title: Protein Modules And Protein Protein Interactions

Protein modules engage in a multitude of interactions with one another and with other cellular components, notably with DNA. These interactions are a central aspect of protein function of great relevance in the post-genomic era. This volume describes a panel of approaches for analyzing protein modules and their interactions, ranging from bioinformatics to physical chemistry, to biochemistry, with an emphasis on the structure-function relationship in protein-protein complexes involved in cellular processes including signal transduction. Comprehensive overview of different facets of macromolecule interactions Computational and bioinformatics aspects of analyzing protein modules and their interactions Emphasis on structure-function relationship in protein-protein complexes involved in cellular processes

Modular Protein Domains

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Author: Giovanni Cesareni
Publisher: John Wiley & Sons
ISBN: 3527605894
Size: 31.16 MB
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Modular Protein Domains by Giovanni Cesareni


Original Title: Modular Protein Domains

Since the full functionality of any given protein can only be understood in terms of its interaction with other, often regulatory proteins, this unique reference source covers all relevant protein domains, including SH2, SH3, PDZ, WW, PTB, EH, PH and PX. Its user-oriented concept combines broad coverage with easy retrieval of essential information, and includes a special section on Web-based tools and databases covering protein modules and functional peptide motifs. Essential for the study of protein-protein interactions in vivo or in silico, and a prerequisite for successful functional proteomics studies. With a prologue by Sir Tom Blundell.

Biological Data Mining In Protein Interaction Networks

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Author: Li, Xiao-Li
Publisher: IGI Global
ISBN: 1605663999
Size: 78.16 MB
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Biological Data Mining In Protein Interaction Networks by Li, Xiao-Li


Original Title: Biological Data Mining In Protein Interaction Networks

"The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working on bioinformatics, data mining, and proteomics"--Provided by publisher.

Computational Protein Protein Interactions

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Author: Ruth Nussinov
Publisher: CRC Press
ISBN: 9781420070071
Size: 47.76 MB
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Computational Protein Protein Interactions by Ruth Nussinov


Original Title: Computational Protein Protein Interactions

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.

Neuroproteomics

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Author: Oscar Alzate
Publisher: CRC Press
ISBN: 9781420076264
Size: 37.85 MB
Format: PDF
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Neuroproteomics by Oscar Alzate


Original Title: Neuroproteomics

In this, the post-genomic age, our knowledge of biological systems continues to expand and progress. As the research becomes more focused, so too does the data. Genomic research progresses to proteomics and brings us to a deeper understanding of the behavior and function of protein clusters. And now proteomics gives way to neuroproteomics as we begin to unravel the complex mysteries of neurological diseases that less than a generation ago seemed opaque to our inquiries, if not altogether intractable. Edited by Dr. Oscar Alzate, Neuroproteomics is the newest volume in the CRC Press Frontiers of Neuroscience Series. With an extensive background in mathematics and physics, Dr. Alzate exemplifies the newest generation of biological systems researchers. He organizes research and data contributed from all across the world to present an overview of neuroproteomics that is practical and progressive. Bolstered by each new discovery, researchers employing multiple methods of inquiry gain a deeper understanding of the key biological problems related to brain function, brain structure, and the complexity of the nervous system. This in turn is leading to new understanding about diseases of neurological deficit such as Parkinson’s and Alzheimer’s. Approaches discussed in the book include mass spectrometry, electrophoresis, chromatography, surface plasmon resonance, protein arrays, immunoblotting, computational proteomics, and molecular imaging. Writing about their own work, leading researchers detail the principles, approaches, and difficulties of the various techniques, demonstrating the questions that neuroproteomics can answer and those it raises. New challenges wait, not the least of which is the identification of potential methods to regulate the structures and functions of key protein interaction networks. Ultimately, those building on the foundation presented here will advance our understanding of the brain and show us ways to abate the suffering caused by neurological and mental diseases.

Generalized Blockmodeling

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Author: Patrick Doreian
Publisher: Cambridge University Press
ISBN: 9780521840859
Size: 37.27 MB
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Generalized Blockmodeling by Patrick Doreian


Original Title: Generalized Blockmodeling

This book provides an integrated treatment of blockmodeling, the most frequently used technique in social network analysis. It secures its mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text and include small group structures, little league baseball teams, intra-organizational networks, inter-organizational networks, baboon grooming networks, marriage ties of noble families, trust networks, signed networks, Supreme Court decisions, journal citation networks, and alliance networks. Also provided is an integrated treatment of algebraic and graph theoretic concepts for network analysis and a broad introduction to cluster analysis. These formal ideas are the foundations for the authors' proposal for direct optimizational approaches to blockmodeling which yield blockmodels that best fit the data, a measure of fit that is integral to the establishment of blockmodels, and creates the potential for many generalizations and a deductive use of blockmodeling.

Proteomics And Protein Protein Interactions

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Author: Gabriel Waksman
Publisher: Springer Science & Business Media
ISBN: 9780387245317
Size: 15.72 MB
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Proteomics And Protein Protein Interactions by Gabriel Waksman


Original Title: Proteomics And Protein Protein Interactions

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.

Protein Modules In Cellular Signalling

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Author: Ludwig Heilmeyer
Publisher: IOS Press
ISBN: 9781586031800
Size: 54.61 MB
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Protein Modules In Cellular Signalling by Ludwig Heilmeyer


Original Title: Protein Modules In Cellular Signalling

Dynamic stability of cells is a function of co-ordination and counterbalance between intracellular signalling events. Therefore, the knowledge of those molecules which form signalling cascades or signalling modules is of prime importance in understanding living processes. Signalling proteins, the component members of different cascades, are the focus of intense interest. Protein phosphorylation dephosphorylation is the prevalent mechanism by which signalling molecules transduce their signals.

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