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Qspr/Qsar Studies By Molecular Descriptors (Hardcover)
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Qspr/Qsar Studies By Molecular Descriptors (Hardcover)
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The central problem in QSPR (Quantitative Structure-Property
Relationship) I QSAR (Quantitative Structure-Activity Relationship)
is to convert chemical structures into molecular descriptors that
are relevant to a certain physico-chemical property or biological
activity. Although various physico-chemical properties may be
subjected to QSPR/QSAR studies, the major application field of
these models is drug discovery. Classically, drug discovery mainly
relied on chance and massive screening of large libraries of
synthesised or natural compounds. By contrast, computer-aided drug
design, GADD, is an approach to rational drug design made possible
by the recent advances in computational chemistry (in its various
fields, such as molecular graphics, quantum chemistry, molecular
mechanics, molecular dynamics, library searching, prediction of
physicochemical and biological properties) and, of course, in
computer science. Many physico-chemical properties can be
satisfactorily correlated with the topostructural or topochemical
features. Topological indices are among the simplest and efficient
descriptors for QSPR/QSAR. In principle, these are mathematical
objects, without a precise physical meaning. However, they may
express the topological shape or may correlate with the molecular
volume or surface area, as is shown in the pages of this book.
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