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Optimising the EVA descriptor for prediction of biological activity.

作者信息

Ford Martyn, Phillips Laurie, Stevens Adrian

机构信息

Centre for Molecular Design, IBBS, University of Portsmouth, King Henry Building, King Henry I Street, Portsmouth, Hampshire PO1 2DY, UK.

出版信息

Org Biomol Chem. 2004 Nov 21;2(22):3301-11. doi: 10.1039/b410053k. Epub 2004 Oct 27.

DOI:10.1039/b410053k
PMID:15534708
Abstract

EVA is a multivariate molecular descriptor for use in QSAR studies. It is constructed from vibrational eigenvalues derived from either a quantum theoretical or molecular mechanical treatment of molecular structure. This paper applies the method to biological-activity data using measures of the inotropic potential of a range of Calcium channel agonists. The performance of the descriptor, as both an explanatory and a predictive tool, is analysed in relation to the way in which it is constructed using a rigorous statistical treatment. Its capabilities are examined in relation to those of previously published methodology which used a composite descriptor. It is shown to have improved performance and several procedural advantages, such as ease of calculation and operation. It is a 3-D structural descriptor which does not require prior co-alignment of structures for a QSAR study.

摘要

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