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Computational and Structural Approaches to Drug Discovery: Ligand-Protein Interactions (RSC Biomolecular Sciences)
 
 
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Computational and Structural Approaches to Drug Discovery: Ligand-Protein Interactions (RSC Biomolecular Sciences) [Hardcover]

Robert M. Stroud (Editor), Janet Finer-Moore (Editor)

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Book Description

November 19, 2007 0854043659 978-0854043651 1

Computational methods impact all aspects of modern drug discovery and most notably these methods move rapidly from academic exercises to becoming drugs in clinical trials.

This insightful book represents the experience and understanding of the global experts in the field and spotlights both the structural and medicinal chemistry aspects of drug design. The need to 'encode' the factors that determine adsorption, distribution, metabolism, excretion and toxicology are explored, as they remain the critical issues in this area of research. This indispensable resource provides the reader with:

A rich understanding of modern approaches to docking; A comparison and critical evaluation of state-of-the-art methods; Details on harnessing computational methods for both analysis and prediction; An insight into prediction potencies and protocols for unbiased evaluations of docking and scoring algorithms; Critical reviews of current fragment based methods with perceptive applications to kinases.

Addressing a wide range of uses of protein structures for drug discovery the Editors have created an essential reference for professionals in the pharmaceutical industry and moreover an indispensable core text for all graduate level courses covering molecular interactions and drug discovery.


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Editorial Reviews

Review

Crystal clear

Computational and structural approaches to drug discovery 
R. Stroud and J. Finer-Moore (Eds.) 
RSC Publishing 2007, Cambridge, UK | 382pp |  ISBN 978-0-85404-365-1


Reviewed by Richard Lewis

When I started to read this book, I was expecting that it would match the prevailing weather, heavy and hard-going. Instead, it was a pleasure. The book has been carefully constructed as a series of essays, each addressing an important topic, and even better, topics that there are many misunderstandings and misconceptions about. Although much of the material could be found in the literature, the emphasis on the didactic elements makes the book greater than the sum of its parts. The essay by Kubinyi reminded me that after many decades of drug discovery, we are still relearning the same truths, and still (willfully) misusing some of the technology that has been put at our disposal. This, and the explanatory focus, makes me think that the key messages in this book will not be quickly swept away by new discoveries. The scope of the book is wide-ranging, covering structure-based drug design (interpretation of x-rays, water, docking and scoring, flexibility, mutational resistance), artefacts in HTS, fragment-based methods and approaches to ADMET modelling. Each chapter is well referenced, and serves as a good entry point into the literature. 

I would expect any modeller worth their salt to know and understand all the key concepts in this book, so in that respect it is an excellent primer. I would also strongly recommend this book to medicinal chemists leading project teams that use structural information. There is much in here that one should know, to properly utilise the power of structure-based drug design, and modelling in general. This is not a book that should languish in libraries, but it should be a vade mecum  for practicing medicinal chemists, to be consulted regularly.  

Chemistry World, 2008, 5(3), p.p.77-78

About the Author

Robert M. Stroud is a professor at the University of California and has been a fellow of the Royal Society of Medicine (UK) since 1992 and a member of the National Academt of Sciences (US) since 2003. His prestigious career spans over 35 years and he is and has served on the scientific advisory boards of many companies and institutions including the National Cancer Institute, the Neutron Diffraction facility, Axys Pharmaceuticals, and Sunesis Phamraceuticals. Janet Finer-Moore is a Research Biologist at the University of California Her contribution to the detailed determination of the structural and chemical mechanism of a two substrate enzyme and detection of amphipathic helices in protein and gene sequences have perpetuated over 28 publications. She is a member of the AAAS, the ACA, the ACS and the Biophysical Society.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
purine nucleoside phosphorylase, diversity set, computational prediction, generalized born, localized water molecules, targeted scoring functions, binding mode prediction, extended tethering, virtual screening performance, breakaway extender, average contact density, substrate envelope, breakaway tethering, propensity maps, virtual ligand screening, selectivity pocket, energy scoring functions, ligand pose, solvent mapping, gatekeeper residue, docking algorithms, electrostatic solvation effects, nuisance compounds, docking methods, docking calculations
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Drug Discovery, Aided Mol, Structure-Based Drug Design, Acta Crystallogr, Disulfide Tethering, Link Means, Application of Docking Methods, The Changing Landscape, Calculations of Binding Free Energies, New York, Computationally Based Approaches, Protein Sei, Facing the Wall, Protein Eng, American Chemical Society, Protein Data Bank, Monte Carlo, The Impact of Protein Kinase Structures, Bound Waters, Journal of Medicinal Chemistry, Drug Delivery Rev, Protein Sci, Side-Chain Rotamers, Avoiding the Rigid Receptor, Knowledge-Based Methods
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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