Chemoinformatics: Concepts, Methods, and Tools for Drug Discovery(275 Methods in Molecular Biology)

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.

Table of Contents:
Molecular Similarity Measures.- Evaluation of Molecular Similarity and Molecular Diversity Methods Using Biological Activity Data.- A Web-Based Chemoinformatics System for Drug Discovery.- Application of Chemoinformatics to High-Throughput Screening.- Strategies for the Identification and Generation of Informative Compound Sets.- Methods for Applying the Quantitative Structure-Activity Relationship Paradigm.- 3D-LogP.- Derivation and Applications of Molecular Descriptors Based on Approximate Surface Area.- Cell-Based Partitioning.- Partitioning in Binary-Transformed Chemical Descriptor Spaces.- Comparison of Methods Based on Diversity and Similarity for Molecule Selection and the Analysis of Drug Discovery Data.- Using Recursive Partitioning Analysis to Evaluate Compound Selection Methods.- Designing Combinatorial Libraries Optimized on Multiple Objectives.- Approaches to Target Class Combinatorial Library Design.- Simulated Annealing.- Genetic Algorithms for Classification of Olfactory Stimulants.- How to Describe Chirality and Conformational Flexibility.- Novel Scoring Methods in Virtual Ligand Screening.- Prediction of Drug-Like Molecular Properties.

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