Classification of Steroid Partition Coefficients by a Pattern Recognition Technique
نویسندگان
چکیده
A pattern recognition technique, the linear learning machine method, has been used to determine structure-activity relatiorrships for certain steroids. The steroids used in this study were classified into two categories according to their observed parti tion 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 results obtained from a study using a different approach.
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