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Computational Approaches for the Prediction of pKa Values (Hardcover, New)
Loot Price: R5,280
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Computational Approaches for the Prediction of pKa Values (Hardcover, New)
Series: QSAR in Environmental and Health Sciences
Expected to ship within 12 - 17 working days
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The pKa of a compound describes its acidity or basicity and,
therefore, is one of its most important properties. Its value
determines what form of the compound-positive ion, negative ion, or
neutral species-will be present under different circumstances. This
is crucial to the action and detection of the compound as a drug,
pollutant, or other active chemical agent. In many cases it is
desirable to predict pKa values prior to synthesizing a compound,
and enough is now known about the salient features that influence a
molecule's acidity to make these predictions. Computational
Approaches for the Prediction of pKa Values describes the insights
that have been gained on the intrinsic and extrinsic features that
influence a molecule's acidity and discusses the computational
methods developed to estimate acidity from a compound's molecular
structure. The authors examine the strengths and weaknesses of the
theoretical techniques and show how they have been used to obtain
information about the acidities of different classes of chemical
compounds. The book presents theoretical methods for both general
and more specific applications, covering methods for various acids
in aqueous solutions-including oxyacids and related compounds,
nitrogen acids, inorganic acids, and excited-state acids-as well as
acids in nonaqueous solvents. It also considers temperature
effects, isotope effects, and other important factors that
influence pKa. This book provides a resource for predicting pKa
values and understanding the bases for these determinations, which
can be helpful in designing better chemicals for future uses.
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