Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1021/ci0503762
Titel (primär) Model selection based on structural similarity - method description and application to water solubility prediction
Autor Kühne, R. ORCID logo ; Ebert, R.U.; Schüürmann, G.
Quelle Journal of Chemical Information and Modeling
Erscheinungsjahr 2006
Department OEC
Band/Volume 46
Heft 2
Seite von 636
Seite bis 641
Sprache englisch
Abstract A method is introduced that allows one to select, for a given property and compound, among several prediction methods the presumably best-performing scheme based on prediction errors evaluated for structurally similar compounds. The latter are selected through analysis of atom-centered fragments (ACFs) in accord with a k nearest neighbor procedure in the two-dimensional structural space. The approach is illustrated with seven estimation methods for the water solubility of organic compounds and a reference set of 1876 compounds with validated experimental values. The discussion includes a comparison with the similarity-based error correction as an alternative approach to improve the performance of prediction methods and an extension that enables an ad hoc specification of the application domain.
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Kühne, R., Ebert, R.U., Schüürmann, G. (2006):
Model selection based on structural similarity - method description and application to water solubility prediction
J. Chem Inf. Model. 46 (2), 636 - 641 10.1021/ci0503762