Novel methods for the prediction of logP, pK(a), and logD.
Novel methods for predicting logP, pK(a), and logD values have been developed using data sets (592 molecules for logP and 1029 for pK(a)) containing a wide range of molecular structures. An equation with three molecular properties (polarizability and partial atomic charges on nitrogen and oxygen) correlates highly with logP (r2 = 0.89). The pK(a)s are estimated for both acids and bases using a novel tree structured fingerprint describing the ionizing centers. The new models have been compared with existing models and also experimental measurements on test sets of common organic compounds and pharmaceutical molecules.
Tripos, Inc., 1699 South Hanley Road, St. Louis, Missouri 63144, USA. lin.xing@pharmacia.com
Li
L
Xing
Robert C
RC
Glen
D000465:Algorithms; D001682:Biological Availability; D003198:Computer Simulation; D016208:Databases, Factual; D006860:Hydrogen Bonding; D006863:Hydrogen-Ion Concentration; D008956:Models, Chemical; D015394:Molecular Structure; D009584:Nitrogen / Q000737:chemistry; D010100:Oxygen / Q000737:chemistry
D009584:Nitrogen; D010100:Oxygen