Current Topics in Medicinal Chemistry

Editorial [Hot Topic: Predicting Drug Metabolism In Silico (Guest Editors: Drs. Michael Sorich and Paul Smith)]
pp. 1567-1568(2)
Authors: Sorich, Michael; Smith, Paul

Quantitative Structure Activity Relationships in Drug Metabolism
pp. 1569-1578(10)
Authors: Chohan, Kamaldeep K.; Paine, Stuart W.; Waters, Nigel J.

Machine Learning Techniques for In Silico Modeling of Drug Metabolism
pp. 1579-1591(13)
Authors: Fox, Thomas; Kriegl, Jan M.

Application of Support Vector Machines to In Silico Prediction of Cytochrome P450 Enzyme Substrates and Inhibitors
pp. 1593-1607(15)
Authors: Yap, C. W.; Xue, Y.; Chen, Y. Z.

Computational Models for Predicting Interactions with Cytochrome p450 Enzyme
pp. 1609-1618(10)
Author: Arimoto, Rieko

Insights into Drug Metabolism from Modelling Studies of Cytochrome P450-Drug Interactions
pp. 1619-1626(8)
Authors: Marechal, Jean-Didier; Sutcliffe, Michael J.

Predicting Drug Metabolism Induction In Silico
pp. 1627-1640(14)
Authors: Schuster, Daniela; Steindl, Theodora M.; Langer, Thierry

Structure and Mechanism of Arylamine N-Acetyltransferases
pp. 1641-1654(14)
Authors: Westwood, I. M.; Kawamura, A.; Fullam, E.; Russell, A. J.; Davies, S. G.; Sim, E.