Description: Pharmaceutical Data Mining : Approaches and Applications for Drug Discovery, Hardcover by Balakin, Konstantin V. (EDT), ISBN 0470196084, ISBN-13 9780470196083, Brand New, Free shipping in the US Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approaches for drug discovery—including chemogenomics, toxicogenomics, and individual drug response prediction. The five main sections of this volume cover: A general overview of the discipline, from its foundations to contemporary industrial applications Chemoinformatics-based applications Bioinformatics-based applications Data mining methods in clinical development Data mining algorithms, technologies, and software tools, with emphasis on advanced algorithms and software that are currently used in the industry or represent promising approaches In one concentrated reference, Pharmaceutical Data Mining reveals the role and possibilities of these sophisticated techniques in contemporary drug discovery and development. It is ideal for graduate-level courses covering pharmaceutical science, computational chemistry, and bioinformatics. In addition, it provides insight to pharmaceutical scientists, principal investigators, principal scientists, research directors, and all scientists working in the field of drug discovery and development and associated industries.
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Book Title: Pharmaceutical Data Mining : Approaches and Applications for Drug
Number of Pages: 584 Pages
Language: English
Publication Name: Pharmaceutical Data Mining : Approaches and Applications for Drug Discovery
Publisher: Wiley & Sons, Incorporated, John
Item Height: 1.2 in
Publication Year: 2009
Subject: Pharmacology, Databases / Data Mining, Life Sciences / Biology
Item Weight: 32.9 Oz
Type: Textbook
Subject Area: Computers, Science, Medical
Author: Konstantin V. Balakin
Item Length: 9.6 in
Item Width: 6.4 in
Series: Wiley Series on Technologies for the Pharmaceutical Industry Ser.
Format: Hardcover
