The Application of Pattern Recognition to Screening Prospective Anti-Cancer Drugs: Adenocarcinoma 775 Biological Activity Test.

Abstract

A novel application of pattern recognition to the screening of potential anti-cancer drugs is presented. Structural features of 200 drugs previously tested by the National Cancer Institute for activity in the solid tumor adenocarcinoma 755 screening test are input to a master program of pattern recognition methods. The programs were 93.5% accurate in discriminating drugs with positive anti-neoplastic activity versus those with no anti-cancer activity. Extensions to a more rational approach to 'drug design' are also discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1973
Accession Number
AD0766504

Entities

People

  • Bruce R. Kowalski
  • Charles F. Bender

Organizations

  • Colorado State University

Tags

DTIC Thesaurus Topics

  • Adenocarcinoma
  • California
  • Cancer
  • Cooperation
  • Identification
  • Neoplasms
  • Pattern Recognition
  • Radiation
  • Recognition

Fields of Study

  • Chemistry
  • Medicine

Readers

  • Oncology
  • Software Engineering
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML