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Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery (Methods in Molecular Biology)
 
 
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Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery (Methods in Molecular Biology) [Hardcover]

Jürgen Bajorath (Editor)

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Book Description

May 12, 2004 1588292614 978-1588292612 1
Well-recognized pioneers and investigators from diverse professional environments survey the key concepts in the field, describe cutting-edge methods, and provide exemplary pharmaceutical applications. The authors explain the theory behind the crucial concepts of molecular similarity and diversity, describe the challenging efforts to use chemoinformatics approaches to virtual and high-throughput screening, and illuminate the latest developments in multidimensional QSAR analysis. Other topics of interest include the use of partitioning algorithms and classification methods for analyzing large compound databases, screening sets, and virtual screening for active molecules; different approaches to target class-specific library design; and the generation of a novel class of molecular surface properties descriptors that can be readily calculated from 2D representations of molecular structures. Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery illuminates the conceptual and methodological diversity of this rapidly evolving field and offers instructive examples of cutting-edge applications in the drug discovery process.

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Editorial Reviews

Review

"...a 'how-to' guide to chemoinformatics and how to use it in drug discovery...excellent reference material and is a worthwhile addition to the library of most computational chemists and to medical chemists." - Journal of Medicinal Chemistry

From the Back Cover

In the post-genomic era, the role informatics technologies plays in chemical and pharmaceutical research has become increasingly important in data management and lead-compound identification. In Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery, well-recognized pioneers and investigators from diverse professional environments survey the key concepts in the field, describe cutting-edge methods, and provide exemplary pharmaceutical applications. The authors explain the theory behind the crucial concepts of molecular similarity and diversity, describe the challenging efforts to use chemoinformatics approaches to virtual and high-throughput screening, and illuminate the latest developments in multidimensional QSAR analysis. Other topics of interest include the use of partitioning algorithms and classification methods for analyzing large compound databases, screening sets, and virtual screening for active molecules; different approaches to target class-specific library design; the generation of novel classes of molecular descriptors; and Web-based tools for chemical database access and management. Also presented are different methods for describing molecular chirality and conformational parameters and for predicting the drug-like character and basic ADME properties of compounds based on modeling their putative interactions with cytochrome P450 isoforms. State-of-the-art and user-friendly, Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery illuminates the conceptual and methodological diversity of this rapidly evolving field and offers instructive examples of cutting-edge applications in the drug discovery process.

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Inside This Book (learn more)
First Sentence:
Molecular similarity is a pervasive concept in chemistry. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
constitutional descriptors, virtual ligand screening, class library design, chemoinformatic methods, pharmacophore descriptors, browsing indices, median partitioning, pharmacophore fingerprints, pure partitions, analog finding, chemistry space, combinatorial library design, chemical graphs, descriptor combinations, virtual screening, molecular descriptors, original descriptors, molecular weight profile, compound classification, chemical space, sequential screening, database compounds, rotatable bonds, consensus scoring, inertial tensor
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Key Words, Aided Mol, Inf Comput, Drug Metab, San Diego, John Wiley, National Meeting, Humana Press Inc, Index Label Compound Name, Drug Disc, Academic Press, American Chemical Society, Blackwell Science, Field Fit, San Leandro, Marcel Dekker, Mean Lower, Nucleic Acids Res, Priority List Fig, Web-Based Chemoinformatics, Chemical Computing Group Inc, Federal Republic of Germany, Kluwer Academic Publishers, San Francisco
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