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Statistical Modelling of Molecular Descriptors in QSAR/QSPR
Author(s): Matthias Dehmer (Editor), Kurt Varmuza (Editor), Danail Bonchev (Editor), Frank Emmert-Streib (Series Editor)
- Publisher: Wiley-Blackwell
- Publication Date: 22 Feb. 2012
- Edition: 1st
- Language: English
- Print length: 456 pages
- ISBN-10: 3527324348
- ISBN-13: 9783527324347
Book Description
The high-profile international author and editor team ensures excellent coverage of the topic, making this a must-have for everyone working in chemoinformatics and structure-oriented drug design.
Editorial Reviews
Review
“In summary, Statistical Modelling of Molecular Descriptors in QSAR/QSPR” is a valuable treatise, aimed at practitioners, useful both for beginners and experts. It should be a must for any decent science library.” (Match, 1 November 2012)
About the Author
Kurt Varmuza studied chemistry at the Vienna University of Technology (Austria). His research activities were first mass spectrometry and then moved to chemometrics – mainly the application of multivariate statistical analysis for chemistry related problems, such as spectra-structure relationships and structureproperty relationships. Since 1992, he has been working as a professor at the Vienna University of Technology, currently at the Institute of Chemical Engineering.
Danail Bonchev received his Ph. D. in quantum chemistry in Sofia, Bulgaria and D. Sc. in mathematical chemistry from the Moscow State University in Russia. He worked till 1992 as a professor of physical chemistry in the Assen Zlatarov University in Bourgas, Bulgaria. In 1992 he joined Texas A&M University at Galveston, and since 2003 he is professor at Virginia Commonwealth University in Richmond. His research includes quantum chemistry, molecular topology, QSPR and QSAR and, recently, bioinformatics and computational biology.
