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Chemoinformatics in Drug Discovery (Methods and Principles in Medicinal Chemistry)
 
 
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Chemoinformatics in Drug Discovery (Methods and Principles in Medicinal Chemistry) [Hardcover]

Tudor I. Oprea (Editor), Raimund Mannhold (Series Editor), Hugo Kubinyi (Series Editor), Gerd Folkers (Series Editor)

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Book Description

May 9, 2005 3527307532 978-3527307531 1
This handbook provides the first-ever inside view of today's integrated approach to rational drug design. Chemoinformatics experts from large pharmaceutical companies, as well as from chemoinformatics service providers and from academia demonstrate what can be achieved today by harnessing the power of computational methods for the drug discovery process.

With the user rather than the developer of chemoinformatics software in mind, this book describes the successful application of computational tools to real-life problems and presents solution strategies to commonly encountered problems. It shows how almost every step of the drug discovery pipeline can be optimized and accelerated by using chemoinformatics tools—from the management of compound databases to targeted combinatorial synthesis, virtual screening and efficient hit-to-lead transition.

An invaluable resource for drug developers and medicinal chemists in academia and industry.


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Editorial Reviews

Review

"…truly a delightful beginning and ending to a thoroughly superb reading that is worth the price of admission." (Journal of the American Chemical Society, October 26, 2005)

"…a unique and richly erudite text premised on a sub-layer of the scientific process…" (Electric Review, November/December 2005)

“…a well-written, up-to-date, and practical book for medicinal chemists and computational chemists working in drug discovery.” (Journal of Medical Chemistry, Vol. 48 (19), 2005)

"This book will be of interest to professionals in the pharmaceutical industry as well as students of pharmacy, medicine, or life sciences and others interested in drug discovery." (Journal of Natural Products, August 2005)

From the Back Cover

Cheminformatics experts from large pharmaceutical companies, as well as from cheminformatics service providers and from academia demonstrate what can be achieved today by harnessing the power of computational methods for the drug discovery process.

From the contents:

  • Cheminformatics in Lead Discovery
  • Molecular Complexity and Screening Set Design
  • Algorithmic Engines in Virtual Screening
  • Pharmacophore-Based Virtual Screening
  • Enhancing Hit Quality and Diversity
  • Molecular Diversity in Lead Discovery
  • In Silico Lead Optimization
  • Using Databases and Libraries
  • Combinational Libraries Based on Privileged Substructures
  • Strategies for Directed Compound Acquisition
  • Predictive QSAR Models in Database Mining
  • Drug Discovery in Academia - a Case Study
With the user rather than the developer of cheminformatics software in mind, the successful application of computational tools for commonly encountered tasks is described in detail, and numerous real life examples are given. An invaluable resource for drug developers and medicinal chemists in academia and industry.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
algorithmic engines, molecular diversity, privileged structural motifs, web services, drug delis, activity zones, feature tree, biological informatics network, retrosynthetic fragments, treelike descriptors, background hit rate, chemoinformatic tools, chemoinformatic analysis, peripheral building blocks, privileged substructures, virtual screening applications, biostructural information, diversity reagents, hydrogen placements, molecular bioactivity, statistical molecular design, validated hits, topological polar surface area, nitrogen configurations, frequent hitters
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Drug Disc, New York, User's Perspective, Simultaneously Addressing Various Parameters, Oprea Copyright, San Diego, Computational Chemistry, Combinational Libraries Based, Drug Deliv, Aided Mol, Information Systems, Machine Learning, Case Study, National Meeting, Allos Therapeutics Inc, Marcel Dekker, Application of Predictive, Personal View, Rational Selection of Building Blocks Based, Structure Modification, Concept of Privileged Substructures, Scranton Road, Diverse Solutions, Mission Viejo, Tripos Inc
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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