J. Chem. Inf. Comput. Sci., 41 (4), 978 -991, 2001. 10.1021/ci000160u S0095-2338(00)00160-8
Web Release Date: June 16, 2001

Copyright © 2001 American Chemical Society

Identification of Active Molecular Sites Using Quantum-Self-Similarity Measures

Lluís Amat, Emili Besalú, and Ramon Carbó-Dorca*

Institute of Computational Chemistry, University of Girona, Catalonia, 17071 Spain

Robert Ponec

Institute of Chemical Process Fundamentals, Czech Academy of Sciences, Prague 6, Suchdol 2, 165 02, Czech Republic

Received December 7, 2000

Abstract:

A novel approach to construct theoretical QSAR models is proposed. This technique, based on the systematic use of quantum similarity measures as theoretical molecular descriptors, opens the possibility to localize and to identify the position of the bioactive part of drug molecules in situations, where the nature of the pharmacophore is not known. To test the reliability of this new approach, the method has been applied to the study of steroids binding to corticosteroid-binding human globulin. The studied molecules involved the set of 31 Cramer's steroids, often used as a benchmark set in QSAR studies. It has been shown that theoretical QSAR models based on the present procedure are superior to those derived from alternative existing approaches. In addition, a new method to measure the statistical significance of multiparameter QSAR models is also proposed.


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