Computational Approaches for the Prediction of pKa Values The acidity or basicity of a compound under various conditions is a crucial property for the action and detection of the compound as a drug, pollutant, or other active chemical agent. Thus, the ability to predict pKa values using theoretical methods is extremely useful. This book describes the insights that have been gained on the intrinsic and extrinsic features that influence a molecules acidity and examines the computational methods developed to estimate acidity from a compounds molecular structure. It presents techniques for both general and specific applications. 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 predictionsputational 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 i Autor: George C. Shields, Paul G. Seybold Wydawnictwo: Taylor & Francis Rok wydania: 2017 Okładka: miękka Liczba stron: 175 Wymiary: 23.4 x 15.6 cm Ilustracje: 12 Tables, black and white; 25 Illustrations, black and white Język: angielski ISBN: 9781138199910