References
- Diurno M. V., Mazzoni O., Piscopo E., Calignano A., Giordano F., Bolognese A. Synthesis and antihistaminic activity of some thiazolidin-4-ones. J. Med. Chem. 1992; 35: 2910–2912
- Diurno M. V., Calignano A., La Rana G., Mazzoni O., Barbieri A., Bolognese A. Antihistaminic activitγ-structure relationships of 2-(substituted)-3-[3-(N,N-dimethylamino)propyl]-1,3-thiazolidin-4-ones and of related compounds. J. Med. Chem., submitted
- Naruto S., Motoc I., Marshall G. R. Computer-assisted analysis of bioactivity.l. Active conformation of histamine H1-receptor antagonists. Eur. J. Med. Chem. 1985; 20: 529–532
- Martin Y. C. Quantitative Drug Design: a Critical Introduction (Medicinal Research Series, Vol. 8. Marcel Dekker, New York, Basel 1978
- Cramer R. D., III, Patterson D. E., Bunce J. D. Comparative Molecular Field Analysis (CoMFA) 1. Effects of shape on binding of steroids to carrier proteins. J. Am. Chem. Soc. 1988; 110: 5959–5967
- Schild H. O. Drug antagonism and pA2. Pharmacol. Rev. 1957; 9: 242–246
- C-QSAR program, version 1.83. BIOBYTE Corp., Claremont, CA
- Hansch C., Leo A., Taft R. W. A survey of Hammett substituent constants and resonance and field parameters. Chem. Rev. 1991; 91: 165–195
- SYBYL Molecular Modeling System, version 6.01. TRIPOS Ass St. Louis, MissouriUSA
- Vinter J. G., Davis A., Saunder M. R. Strategic approaches to drug design. 1. An integrated software framework for molecular modeling. J. Comput.-Aided Mol. Design 1987; 1: 31–55
- Dewar M. J.S., Thiel W. Ground states of molecules. 38. The MNDO method. Approximations and parameters. J. Am. Chem. Soc. 1977; 99: 4899–4907
- MOPAC, version 5.00, Quantum Chemistry Program Exchange, No. 455. 1989
- Wold S., Ruhe A., Wold H., Dunn W. J. The covariance problem in linear regression. The partial least squares (PLS) approach to generalized inverses. SIAM J. Sci. Stat. Comput. 1984; 5: 735–743
- Cramer R. D., III, Bunce J. D., Patterson D. E., Frank I. E. Cross-validation. bootstrapping, and partial least squares compared with multiple regression in conventional QSAR studies. Quant. Struct.-Act. Relat. 1988; 7: 18–25