title: Exploratory data analytic techniques to evaluate anticancer agents screened in a cell culture panel.
abstract: Information theory is used to provide a measure of selectivity, i.e., the degree to which a drug has preferential toxicity or growth inhibition for one or a few cell lines from a large panel. The selectivity measure is intended to complement a measure of differential growth inhibition in evaluating the drug development potential of a new compound. Also, a similarity measure obtained from information theory is used to classify drugs according to their pattern of responses on the panel. Some structure-activity relations emerge. This work is applied to 176 agents selected to be tested by the National Cancer Institute in about 50 cell lines.
authors.affiliation: National Cancer Institute, Bethesda, Maryland 20892.
authors.forename: L
authors.initials: L
authors.lastname: Hodes
authors.forename: K
authors.initials: K
authors.lastname: Paull
authors.forename: A
authors.initials: A
authors.lastname: Koutsoukos
authors.forename: L
authors.initials: L
authors.lastname: Rubinstein
mesh_terms: D000818:Animals; D000970:Antineoplastic Agents / Q000494:pharmacology*; D004354:Drug Screening Assays, Antitumor / Q000706:statistics & numerical data; D006801:Humans; D007257:Information Theory; D013329:Structure-Activity Relationship; D014407:Tumor Cells, Cultured / Q000187:drug effects*
chemical_list: D000970:Antineoplastic Agents