title: [Multiparameter analysis approach of antiparasitic structure-activity relationships in function of the parasite taxonomy].
abstract: In this paper the authors have studied the structure-parasitic activity relationships through the Chemical Abstracts data base which groups together the works published in this field for the last twenty years. With mathematical methods of multidimensional data reduction using a computer it has been possible to validate the classification of human parasites on the base of their sensitivity to chemical families. The specificity of the pharmacochemical relationships was described through two factorial maps. This work shows that it is possible to find new chemical series with potential parasitic activity.
authors.forename: J
authors.initials: J
authors.lastname: Lacroix
authors.forename: J C
authors.initials: JC
authors.lastname: Doré
authors.forename: J
authors.initials: J
authors.lastname: el Alami
authors.forename: F
authors.initials: F
authors.lastname: Reynouard
authors.forename: C
authors.initials: C
authors.lastname: Viel
authors.forename: R
authors.initials: R
authors.lastname: Lacroix
mesh_terms: D000818:Animals; D000871:Anthelmintics / Q000145:classification* / Q000494:pharmacology; D000890:Anti-Infective Agents / Q000145:classification* / Q000494:pharmacology; D000981:Antiprotozoal Agents / Q000145:classification* / Q000494:pharmacology; D015706:Bibliometrics; D007256:Information Systems; D010271:Parasites / Q000145:classification* / Q000187:drug effects; D013329:Structure-Activity Relationship
chemical_list: D000871:Anthelmintics; D000890:Anti-Infective Agents; D000981:Antiprotozoal Agents
vernacular_title: Approche par analyse multiparamétrique de relations structure-activité antiparasitaire en fonction de la taxonomie des parasites.