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P C Jurs

Publications and source records attributed to P C Jurs.

6 recordsLinked to original sources
PubMed1979

Computer-assisted structure-activity studies of chemical carcinogens. A heterogeneous data set.

A structure-activity relations study has been performed on a heterogeneous set of organic compounds to develop predictive ability for carcinogenic potential. The compounds employed came from more than 12 structural classes and numbered 130 carcinogens and 79 noncarcinogens. A set of 28 calculated molecular structure descriptors was identified that supported a linear discriminant function able to completely separate 192 compounds into the carcinogenic and noncarcinogenic classes. A predictive ability of 90% for carcinogens and 78% for noncarcinogens was obtained in randomized testing. The results demonstrate that pattern-recognition methods can be used to analyze a diverse set of compounds each represented by calculated molecular structure descriptors for a common biological activity.

Carcinogens↗
PubMed1979

Computer assisted structure-activity studies of chemical carcinogens. An N-nitroso compound data set.

N-nitroso compounds, consisting of nitrosamines and nitrosamides, are potentially important in the etiology of human cancer. An attempt to study the molecular structure-carcinogenicity relations of these compounds is reported. A pattern-recognition approach was used to develop predictive ability for carcinogenic potential. A set of 15 calculated molecular structure descriptors that supported a linear discriminant function able to successfully separate 116 carcinogens from 28 noncarcinogens was identified. Predictive ability of an overall of 91%--93% for carcinogens and 85% for noncarcinogens--was obtained in the randomized testing. This relatively high predictability demonstrates that pattern-recognition methods can be useful in analyzing these compounds for carcinogenic activity. The inclusion of two electronic descriptors implicitly supports the alpha-hydroxylation hypothesis. The relations of descriptors used and possible mechanism of action are discussed.

Amides↗
PubMed1978

Structure-activity studies of barbiturates using pattern recognition techniques.

The relationship between molecular structure and duration of depressant effect for barbiturates was investigated. A data set of 160 5,5'-disubstituted barbiturates with various acyclic substituents was coded using 47 numerical descriptors including fragments, substructures, environmental descriptors, and molecular connectivity indexes. All descriptors were derived directly from the connection tables of the barbiturates. Using an interactive error-correction feedback algorithm, linear discriminant functions were developed that could dichotomize the data set with respect to several thresholds separating longer from shorter acting compounds. Feature selection was used to focus on the relatively few structural descriptors sufficient to support linear separability. For three specific thresholds, nine, 11, and nine descriptors were sufficient. The importance of these descriptors and the utility of the technique are discussed. Predictive abilities of approximately 94% were obtained for known barbiturates of the same general molecular types.

Animals↗