Pharmaceutical Data Mining : Approaches and Applications for Drug Discovery

by Konstantin V. Balakin; Series Editor: Sean Ekins

• ISBN13: 9780470567616
• ISBN10: 0470567619
• Format: eBook
• Copyright: 2009-11-01
• Publisher: Wiley

Summary

Extracting and applying knowledge from chemical, biological, and clinical data is one of the biggest problems for the pharmaceutical industry. Focusing on diverse data mining approaches for drug discovery, including chemogenomics, toxicogenomics, and individual drug response prediction, Pharmaceutical Data Mining links theory to applications to illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development. The book is of vital interest to pharmaceutical scientists, principal investigators and scientists, research directors, industrial and academic research libraries, and graduate students.

Table of Contents

Preface

Acknowledgments

Contributors

Data Mining In The Pharmaceutical Industry: A General Overview

A History of the development of Data Mining in Pharmaceutical Research

Drug Gold and Data Dragons: Myths and Realities of Data Mining in the Pharmaceutical Industry

Application of Data Mining Algorithms in Pharmaceutical Research and Development

Chemoinformatics-Based Applications

Data Mining Approaches for Compound Selection and Iterative Screening

Prediction of Toxic Effects of Pharmaceutical Agents

Chemogenomics-Based Design of GPCR-Targeted Libraries Using Data Mining Techniques

Mining High-Throughput Screening Data by Novel Knowledge-Based Optimization Analysis

Bioinformatics-Based Applications

Mining DNA Microarray Gene Expression Data

Bioinformatics Approaches for Analysis of Protein-Ligand Interactions

Analysis of Toxicogenomic Databases

Bridging the Pharmaceutical Shortfall: Informatics Approaches to the Discovery of Vaccines, Antigens, Epitopes, and Adjuvants

Data Mining Methods In Clinical Development

Data Mining in Pharmacovigilance

Data Mining Methods as Tools for Predicting Individual Drug Response

Data Mining Methods in Pharmaceutical Formulation

Data Mining Algorithms And Technologies

Dimensionality Reduction Techniques for Pharmaceutical Data Mining

Advanced Artificial Intelligence Methods Used in the Design of Pharmaceutical Agents

Databases for Chemical and Biological Information

Mining Chemical Structural Information from the Literature

Index

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