Identification of active molecular sites using quantum-self-similarity measures

Citation
L. Amat et al., Identification of active molecular sites using quantum-self-similarity measures, J CHEM INF, 41(4), 2001, pp. 978-991
Citations number
75
Categorie Soggetti
Chemistry
Journal title
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
ISSN journal
00952338 → ACNP
Volume
41
Issue
4
Year of publication
2001
Pages
978 - 991
Database
ISI
SICI code
0095-2338(200107/08)41:4<978:IOAMSU>2.0.ZU;2-S
Abstract
A novel approach to construct theoretical QSAR models is proposed. This tec hnique, based on the systematic use of quantum similarity measures as theor etical molecular descriptors, opens the possibility to localize and to iden tify the position of the bioactive part of drug molecules in situations, wh ere the nature of the pharmacophore is not known. To test the reliability o f this new approach, the method has been applied to the study of steroids b inding to corticosteroid-binding human globulin. The studied molecules invo lved 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 prese nt procedure are superior to those derived from alternative existing approa ches. In addition, a new method to measure the statistical significance of multiparameter QSAR models is also proposed.