title: Mimicking the olfactory system for the classification of chemical data.
abstract: Various computational techniques have been used in pharmacological research to classify chemical compounds based on their physicochemical properties and putative biological activity. The recent publication by Schmuker and Schneider describes a new approach for the processing and classification of chemical data. Their study was motivated by nature's solution for detection and discrimination of chemical data, which is manifested in the olfactory systems of vertebrates and invertebrates.
authors.affiliation: Department of Cell Physiology, Ruhr-University Bochum, Universitätsstrasse 150, 44780 Bochum, Germany.
authors.forename: Eva M
authors.initials: EM
authors.lastname: Neuhaus
authors.forename: Hanns
authors.initials: H
authors.lastname: Hatt
mesh_terms: D000818:Animals; D003198:Computer Simulation; D007313:Insecta / Q000502:physiology; D016571:Neural Networks, Computer; D009812:Odorants; D018034:Olfactory Receptor Neurons / Q000502:physiology*; D004364:Pharmaceutical Preparations / Q000737:chemistry*; D012903:Smell; D013329:Structure-Activity Relationship
chemical_list: D004364:Pharmaceutical Preparations