Since the first attempts to model proteins on a computer began almost thirty years ago, our understanding of protein structure and dynamics has dramatically increased. Spectroscopic measurement techniques continue to improve in resolution and sensitivity, allowing a wealth of information to be obtained with regard to the kinetics of protein folding and unfolding, and complementing the detailed structural picture of the folded state. Concurrently, algorithms, software, and computational hardware have progressed to the point where both structural and kinetic problems may be studied with a fair degree of realism. Despite these advances, many major challenges remain in understanding protein folding at both the conceptual and practical levels. Computational Methods for Protein Folding seeks to illuminate recent advances in computational modeling of protein folding in a way that will be useful to physicists, chemists, and chemical physicists. Covering a broad spectrum of computational methods and practices culled from a variety of research fields, the editors present a full range of models that, together, provide a thorough and current description of all aspects of protein folding. A valuable resource for both students and professionals in the field, the book will be of value both as a cutting-edge overview of existing information and as a catalyst for inspiring new studies. Computational Methods for Protein Folding is the 120th volume in the acclaimed series Advances in Chemical Physics, a compilation of scholarly works dedicated to the dissemination of contemporary advances in chemical physics, edited by Nobel Prize-winner Ilya Prigogine.

Ein Sonderband der vielfach praxisbewährten, renommierten Reihe 'Advances in Chemical Physics'! Zentrales Thema des Buches ist der Vergleich verschiedener Ansätze zur quantitativen und qualitativen Erfassung der Faltung von Proteinen. Das Spektrum der besprochenen Methoden reicht von ausgefeilten, expliziten MD-Simulationen bis zu reduzierten Modellen. Herausgegeben von Nobelpreisträger Ilya Prigogine!

Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research.

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.

This volume provides comprehensive protocols on experimental and computational methods that are used to study probe protein folding reactions and mechanisms. Chapters divided into five parts detail protein engineering, protein chemistry, experimental approaches to investigate the thermodynamics and kinetics of protein folding transitions, probe protein folding at the single molecule, analysis and interpretation of computer simulations, procedures and tools for the prediction of protein folding properties. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Protein Folding: Methods and Protocols aims to be a useful practical guide to researches to help further their study in this field.

This book describes recent important advancements in protein folding dynamics and stability research, as well as explaining fundamentals and examining potential methodological approaches in protein science. In vitro, in silico, and in vivo method based research of how the stability and folding of proteins help regulate the cellular dynamics and impact cell function that are crucial in explaining various physiological and pathological processes. This book offers a comprehensive coverage on various techniques and related recent developments in the experimental and computational methods of protein folding, dynamics, and stability studies. The book is also structured in such a way as to summarize the latest developments in the fiddle and key concepts to ensure that readers can understand advanced concepts as well as the fundamental big picture. And most of all, fresh insights are provided into the convergence of protein science and technology. Protein Folding Dynamics and Stability is an ideal guide to the field that will be of value for all levels of researchers and advanced graduate students with training in biochemical laboratory research.

Helps you choose the right computational tools and techniques to meet your drug design goals Computational Drug Design covers all of the major computational drug design techniques in use today, focusing on the process that pharmaceutical chemists employ to design a new drug molecule. The discussions of which computational tools to use and when and how to use them are all based on typical pharmaceutical industry drug design processes. Following an introduction, the book is divided into three parts: Part One, The Drug Design Process, sets forth a variety of design processes suitable for a number of different drug development scenarios and drug targets. The author demonstrates how computational techniques are typically used during the design process, helping readers choose the best computational tools to meet their goals. Part Two, Computational Tools and Techniques, offers a series of chapters, each one dedicated to a single computational technique. Readers discover the strengths and weaknesses of each technique. Moreover, the book tabulates comparative accuracy studies, giving readers an unbiased comparison of all the available techniques. Part Three, Related Topics, addresses new, emerging, and complementary technologies, including bioinformatics, simulations at the cellular and organ level, synthesis route prediction, proteomics, and prodrug approaches. The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies. Computational Drug Design is ideal for both students and professionals in drug design, helping them choose and take full advantage of the best computational tools available. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.