A Comparison between the Two General Sets of Linear Free Energy Descriptors of Abraham and Klamt

Andreas M. Zissimos,* Michael H. Abraham, Andreas Klamt, Frank Eckert, and John Wood§
Department of Chemistry, University College London, 20 Gordon Street, London, UK, WC1H OAJ, COSMOlogic GmbH and Co. KG, Burscheider Str. 515, Leverkusen 51381, Germany, and Statistical Sciences, GlaxoSmithKline, NFSP, Third Ave, Harlow, Essex, CM19 5AN, UK
J. Chem. Inf. Comput. Sci., 2002, 42 (6), pp 1320–1331
DOI: 10.1021/ci025530o
Publication Date (Web): October 1, 2002
Copyright © 2002 American Chemical Society
*

 Corresponding author fax:  +44-020-7679-7463; e-mail:  a.zissimos@ ucl.ac.uk.

,

 University College London.

,

 COSMOlogic GmbH and Co. KG.

,
§

 GlaxoSmithKline.

Abstract

Two sets of molecular descriptors, the five experimental Abraham, and the five COSMOments of Klamt's COSMO-RS, have been compared for a data set of 470 compounds. Both sets are considered as almost complete sets of LFER. The two sets of descriptors are shown to exhibit a large overlap as far as their chemical content. The chemical information however is distributed differently in each set with the Abraham set incorporating extra information in the excess molar refraction descriptor E. Regression equations have been constructed to predict the experimental Abraham descriptors from theoretically calculated COSMOments. The chemical interpretation of these equations is however difficult because of the lack of clustering which characterizes the distribution of chemical information through the two sets of descriptors. The predictability of the regression equations is tested successfully using a reasonably large set of data, and the method is compared to recent attempts to calculate the Abraham descriptors from various theoretical bases.

Tools

SciFinder Links

SciFinder subscribers:  Click to sign in | Not a SciFinder subscriber? Learn more at www.cas.org

History

  • Published In Issue November 25, 2002
  • Received April 23, 2002

Recommend & Share

Related Content

Other ACS content by these authors: