Pattern Recognition Applications in Chemistry and Pharmacology. III. Clustering of Substituted Glycolic Acid Esters (Glycolates).

Abstract

A computerized pseudoclustering algorithm (SIMP) was written and applied to 12 chemical structure descriptors (features) which, on the basis of expert opinion, are required for substituted glycolic acid esters (glycolates) to have some type of physiological activity. The resulting clusters were then input to an algorithm (DISP) written to determine histograms of safety ratios (LP50/MED50) at specified levels and the overlap or confusion probability(Cp) between the histograms of the clusters and the general glycolate data base. Employing the results obtained from the SIMP and DISP programs a decision rule was devised which classified 421 glycolates at one of two levels of activity. The misclassification rate was 21% as compared to an expected rate of 39% based on random sampling. Similar results were obtained with respect to discriminating glycolates at one of two toxicity levels. The methodology appears general and applicable to any chemopharmacological structure-activity problem. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1978
Accession Number
ADA057234

Entities

People

  • David E. Renard
  • Elaine W. Strovel
  • Paul H. Broome
  • William J. Sacco
  • William P. Ashman

Organizations

  • United States Army Armament Research, Development and Engineering Center

Tags

DTIC Thesaurus Topics

  • Acids
  • Algorithms
  • Chemistry
  • Clustering
  • Collecting Methods
  • Databases
  • Delphi Method
  • Glycolic Acid
  • Histograms
  • Neurobehavioral Manifestations
  • Pattern Recognition
  • Pharmacology
  • Probability
  • Recognition
  • Sampling
  • Statistical Sampling

Fields of Study

  • Chemistry

Readers

  • Analytical Chemistry
  • Computer Vision.
  • Quantum Chemistry

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference