Pharmaceutical Data Mining Approaches and Applications for Drug Discovery

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.

Konstantin V. Balakin is Head of the Laboratory of information Technology in Medicinal Chemistry at the Institute of physiologically Active Compounds at the Russian Academy of Science. He is also Director of the scientific consortium "Orchemed" (Organic Chemistry and Medicine), which currently includes 11 Russian academic institutes working in the field of organic, medicinal and biological chemistry, and drug discovery. Previously, he was Head of ht Computational Chemistry Department at ChemDiv, Inc. Dr. Balakin is the author or coauthor of more than 90 peer reviewed research articles, reviews and book chapters. He is the principal development of the SmartMining and InformaGenesis software, tools, which are special programs for pharmaceutical multivariate data mining.