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Advances in Chemical Physics, Computational Methods for Protein Folding (Volume 120)
 
 
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Advances in Chemical Physics, Computational Methods for Protein Folding (Volume 120) [Hardcover]

Richard A. Friesner (Editor)

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Book Description

December 30, 2001 0471209554 978-0471209553 Volume 120
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.


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Editorial Reviews

Review

"...should prove to be an excellent addition to the collection of reference texts held by scientists..." (Journal of the American Chemical Society, Vol. 124, No. 41, 2002)

From the Back Cover

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 120h 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.

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Inside This Book (learn more)
First Sentence:
Experimental and theoretical studies have led to the emergence of a unified general mechanism for protein folding that serves as a framework for the design and interpretation of research in this area [1]. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
rate disconnectivity graph, transition rate cutoff, generalized comparative modeling, peptide docking problems, solvation energy contributions, upper bounding problems, global minimum energy structure, native alignments, predictive deviation, predicted pocket, coordinate indicators, decoy structures, threading protocol, free energy conformers, correlated mutation analysis, initio folding, threading alignments, local minimum energy conformations, deterministic global optimization approach, threading potentials, lower bounding functions, nonconvex terms, single long helix, upper bounding function, misfolded structures
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Protein Sci, Proteins Suppl, Proteins Struct, New York, Nature Struct, Rank Rank, Trends Biochem, Protein Eng, Cure Opin, John Wiley, Nucleic Acids Res, Series Editors, Special Volume of Advances, Constraints Low, Distance Figure, World Scientific, Aided Mol, Global Minimum Energy Conformation of Met-enkephalin, Max Energy, Min Energy, Conclusions Acknowledgments References, Ron Elber, Threading Zscore, Crystallographic Databases-Information Content, Kluwer Academic Publishers
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