The Proteomics Protocols Handbook
The Proteomics Protocols Handbook

Author: John M. Walker

Publisher: Springer Science & Business Media

Published: 2007-10-09

Total Pages: 969

ISBN-13: 1592598900

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Hands-on researchers describe in step-by-step detail 73 proven laboratory methods and bioinformatics tools essential for analysis of the proteome. These cutting-edge techniques address such important tasks as sample preparation, 2D-PAGE, gel staining, mass spectrometry, and post-translational modification. There are also readily reproducible methods for protein expression profiling, identifying protein-protein interactions, and protein chip technology, as well as a range of newly developed methodologies for determining the structure and function of a protein. The bioinformatics tools include those for analyzing 2D-GEL patterns, protein modeling, and protein identification. All laboratory-based protocols follow the successful Methods in Molecular BiologyTM series format, each offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.

Principles of Artificial Intelligence
Principles of Artificial Intelligence

Author: Nils J. Nilsson

Publisher: Morgan Kaufmann

Published: 2014-06-28

Total Pages: 493

ISBN-13: 1483295869

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A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

Computational Protein Design
Computational Protein Design

Author: Ilan Samish

Publisher: Humana

Published: 2016-12-03

Total Pages: 0

ISBN-13: 9781493966356

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The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.

Protein Structure Prediction
Protein Structure Prediction

Author: Mohammed Zaki

Publisher: Springer Science & Business Media

Published: 2007-09-12

Total Pages: 338

ISBN-13: 1588297527

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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.

Structural Bioinformatics
Structural Bioinformatics

Author: Jenny Gu

Publisher: John Wiley & Sons

Published: 2011-09-20

Total Pages: 1105

ISBN-13: 1118210565

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Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: "This book is a gold mine of fundamental and practical information in an area not previously well represented in book form." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students." —BAMBED "...a useful and timely summary of a rapidly expanding field." —Nature Structural Biology "...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue." —Briefings in Bioinformatics

Introduction to Computational Proteomics
Introduction to Computational Proteomics

Author: Golan Yona

Publisher: CRC Press

Published: 2010-12-09

Total Pages: 643

ISBN-13: 1000738272

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Introduction to Computational Proteomics introduces the field of computational biology through a focused approach that tackles the different steps and problems involved with protein analysis, classification, and meta-organization. The book starts with the analysis of individual entities and works its way through the analysis of more complex entitie

Immunological Recognition of Peptides in Medicine and Biology
Immunological Recognition of Peptides in Medicine and Biology

Author: N. D. Zegers

Publisher: CRC Press

Published: 1995-07-19

Total Pages: 496

ISBN-13: 9780849389672

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Immunological Recognition of Peptides in Medicine and Biology gives a state-of-the-art overview on the use of peptides and peptide-ligand interactions, and the critical role they play in recognition patterns for the regulation of various biological functions. A wide range of applications are discussed, including some experimental preclinical ones such as epitope mapping, peptide libraries, and production of amino acid-specific antibodies and their therapeutic use in oncology and infectious disease vaccines. Each chapter also includes step-by-step protocols to aid in actual experiments. Several alternative techniques and strategies are discussed by different authors offering the reader an opportunity to select the most favorable application for a specific biological problem.

Computational Methods for Protein Structure Prediction and Modeling
Computational Methods for Protein Structure Prediction and Modeling

Author: Ying Xu

Publisher: Springer Science & Business Media

Published: 2010-05-05

Total Pages: 335

ISBN-13: 0387688250

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Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.

Computational Protein-Protein Interactions
Computational Protein-Protein Interactions

Author: Ruth Nussinov

Publisher: CRC Press

Published: 2009-06-26

Total Pages: 346

ISBN-13: 142007007X

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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 resear

Protein-protein Recognition
Protein-protein Recognition

Author: Colin Kleanthous

Publisher: Frontiers in Molecular Biology

Published: 2000

Total Pages: 370

ISBN-13: 9780199637607

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The purpose of Protein-Protein Recognition is to bring together concepts and systems pertaining to protein-protein interactions in a single unifying volume. In the light of the information from the genome sequencing projects and the increase in structural information it is an opportune time totry to make generalizations about how and why proteins form complexes with each other. The emphasis of the book is on heteromeric complexes (complexes in which each of the components can exist in an unbound state) and will use well-studied model systems to explain the processes of formingcomplexes. After an introductory section on the kinetics, thermodynamics, analysis, and classification of protein-protein interactions, weak, intermediate, and high affinity complexes are dealt with in turn. Weak affinity complexes are represented by electron transfer proteins and integrincomplexes. Anti-lysozyme antibodies, the MHC proteins and their interactions with T-cell receptors, and the protein interactions of eukaryotic signal transduction are the systems used to explain complexes with intermediate affinities. Finally, tight binding complexes are represented by theinteraction of protein inhibitors with serine proteases and by nuclease inhibitor complexes. Throughout the chapters common themes are the technologies which have had the greatest impact, how specificity is determined, how complexes are stabilized, and medical and industrial applications.