title: Self-organizing neural networks for screening and development of novel artificial sweetener candidates.
abstract: The use of Kohonen feature maps for the visualization of various aspects of molecular similarity is briefly reviewed and illustrated. It is shown that a specific feature of self-organizing maps (SOM) makes them of special interest for the screening of compounds. In particular, these methods were used to design candidates for new sweeteners, which were then synthesized.
authors: Institute of Chemistry, University of Silesia, Szkolna 9, PL-40006 Katowice, Poland. polanski@us.edu.pl
authors: J
authors: J
authors: Polanski
authors: K
authors: K
authors: Jarzembek
authors: J
authors: J
authors: Gasteiger
mesh_terms: D016208:Databases, Factual; D008956:Models, Chemical; D016571:Neural Networks, Computer; D013549:Sweetening Agents / Q000138:chemical synthesis* / Q000494:pharmacology
chemical_list: D013549:Sweetening Agents