| Literature DB >> 11697058 |
R García-Domenech1, J V de Julián-Ortiz, M J Duart, J M García-Torrecillas, G M Antón-Fos, I Ríos-Santamarina, C De Gregorio-Alapont, J Gálvez.
Abstract
Molecular connectivity has been applied to the search of mathematical models able to predict the carcinogenic and teratogenic activity of a wide group of structurally heterogeneous compounds. Through the linear discriminant analysis and the diagrams of distribution of pharmacological activity, the classification criteria that minimizes the percentage of error are established. The easiness and speed of the calculation of the descriptors used in this work make the models developed useful in data bases containing a huge number of compounds.Entities:
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Year: 2001 PMID: 11697058 DOI: 10.1080/10629360108035380
Source DB: PubMed Journal: SAR QSAR Environ Res ISSN: 1026-776X Impact factor: 3.000