QS(A/P)R based Prediction of Biological Potent thiazolones

QS(A/P)R based Prediction of Biological Potent thiazolones

EnglishPaperback / softbackPrint on demand
Singh Prashant
LAP Lambert Academic Publishing
EAN: 9783659132360
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Detailed information

This work is intended to serve as an introduction to the principles and techniques used in the field of 2D-Quantitative Structure Activity Relationship (QSAR). Itlays foundation of certain information and skills that can be repeatedly employed in the field of computer added discovery of new lead and in the discovery of new drugs. A good introductory book of QSAR should contain (i) explain the fundamental concept in not too stilted language together with generous use of appropriate equation and diagrams; (ii) provide sufficient examples with detailed solution; (iii) present ideas in the smaller packages that are easily identified as part of a larger framework; and (iv) include tests and answers that enable the readers to evaluate their accomplishment. Some features have been built into this edition.
EAN 9783659132360
ISBN 3659132365
Binding Paperback / softback
Publisher LAP Lambert Academic Publishing
Publication date May 30, 2012
Pages 76
Language English
Dimensions 229 x 152 x 5
Country Germany
Readership General
Authors Singh Prashant
Edition Aufl.