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Classification of Steroid Partition Coefficients by a Pattern Recognition Technique

A. J. Harget ; Dept. of Computer Science and Applied Mathematics, Aston University, Aston Triangle, Birmingham B4 7ET, UK
D. S. Ellis ; Dept. of Computer Science and Applied Mathematics, Aston University, Aston Triangle, Birmingham B4 7ET, UK

Puni tekst: engleski, pdf (4 MB) str. 449-458 preuzimanja: 170* citiraj
APA 6th Edition
Harget, A.J. i Ellis, D.S. (1989). Classification of Steroid Partition Coefficients by a Pattern Recognition Technique. Croatica Chemica Acta, 62 (3), 449-458. Preuzeto s https://hrcak.srce.hr/175803
MLA 8th Edition
Harget, A. J. i D. S. Ellis. "Classification of Steroid Partition Coefficients by a Pattern Recognition Technique." Croatica Chemica Acta, vol. 62, br. 3, 1989, str. 449-458. https://hrcak.srce.hr/175803. Citirano 04.03.2021.
Chicago 17th Edition
Harget, A. J. i D. S. Ellis. "Classification of Steroid Partition Coefficients by a Pattern Recognition Technique." Croatica Chemica Acta 62, br. 3 (1989): 449-458. https://hrcak.srce.hr/175803
Harvard
Harget, A.J., i Ellis, D.S. (1989). 'Classification of Steroid Partition Coefficients by a Pattern Recognition Technique', Croatica Chemica Acta, 62(3), str. 449-458. Preuzeto s: https://hrcak.srce.hr/175803 (Datum pristupa: 04.03.2021.)
Vancouver
Harget AJ, Ellis DS. Classification of Steroid Partition Coefficients by a Pattern Recognition Technique. Croatica Chemica Acta [Internet]. 1989 [pristupljeno 04.03.2021.];62(3):449-458. Dostupno na: https://hrcak.srce.hr/175803
IEEE
A.J. Harget i D.S. Ellis, "Classification of Steroid Partition Coefficients by a Pattern Recognition Technique", Croatica Chemica Acta, vol.62, br. 3, str. 449-458, 1989. [Online]. Dostupno na: https://hrcak.srce.hr/175803. [Citirano: 04.03.2021.]

Sažetak
A pattern recognition technique, the linear learning machine
method, has been used to determine structure-activity relationships
for certain steroids. The steroids used in this study were classified into two categories according to their observed partition coefficient and a correlation made with certain substructural descriptors. The linear learning machine method was employed to calculate a suitable decision surface that would classify each steroid into its correct category. The resulting structure-activity relationship and the relative contributions of the various structural variables are discussed, and a comparison made with resultsobtained from a study using a different approach.

Hrčak ID: 175803

URI
https://hrcak.srce.hr/175803

Posjeta: 252 *