Physical Sciences and Mathematics Commons^™

Utilizing Structure Property Correlations To Predict And Analyze Two Derivatives Of An Ampicillin Homologous Series, C. Malesa, J. Stoddard, Ronald Bartzatt

Chemistry Faculty Publications

Structure Property Correlation methods such as regression analysis and pattern recognition are applied to predict the molecular properties of two members of an ampicillin homologous series. The pentyl and hexyl esters of ampicillin are also evaluated for their similarity to other penicillins by use of multiple regression, contingency tables, cluster analysis, correspondence analysis, self organizing tree algorithms, factor analysis, principal component analysis, box plots, and other graphing methods. Other members of the homologous series include methyl, ethyl, propyl, and butyl esters of ampicillin which have been previously synthesized and tested in tissue culture against Escherichia coli. All of the tested …