Since the publication of the first edition, the field has
changed dramatically. Scientists can now explicitly consider 3D
features in quantitative structure-activity relationship (QSAR)
studies and often have the 3D structure of the macromolecular
target to guide the 3D QSAR. Improvements in computer hardware and
software have also made the methods more accessible to scientists.
Taking these developments into account, Quantitative Drug Design A
Critical Introduction, Second Edition shows scientists how to apply
QSAR techniques at a state-of-the-art level.
New to the Second Edition
- A new chapter on methods that identify the 3D conformations to
use for 3D QSAR
- New discussions on partial least squares, multidimensional
scaling, clustering, support vector machines, kNN potency
prediction, and recursive partitioning
- Expanded case studies that include the results of data that has
been re-analyzed using newer methods
- A new case study on the discovery of novel dopaminergics with
pharmacophore mapping and CoMFA
- A new case study on the application of CoMFA to series in which
the 3D structure of the ligand-protein complex is known
Based on the author s four decades of experience in all areas of
ligand-based computer-assisted drug design, this invaluable book
describes how to transform ligand structure-activity relationships
into models that predict the potency or activity/inactivity of new
molecules. It will help you avoid traps when dealing with
quantitative drug design.
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