title: Genius: a genetic algorithm for automated structure elucidation from 13C NMR spectra.
abstract: The automated structure elucidation of organic molecules from experimentally obtained properties is extended by an entirely new approach. A genetic algorithm is implemented that uses molecular constitution structures as individuals. With this approach, the structure of organic molecules can be optimized to meet experimental criteria, if in addition a fast and accurate method for the prediction of the used physical or chemical features is available. This is demonstrated using 13C NMR spectrum as readily obtainable information. By means of artificial neural networks a fast and accurate method for calculating the 13C NMR spectrum of the generated structures exists. The method is implemented and tested successfully for organic molecules with up to 18 non-hydrogen atoms.
authors.affiliation: University of Washington, Box 357350, Seattle, Washington 98195-7350, USA. jens@jens-meiler.de
authors.forename: Jens
authors.initials: J
authors.lastname: Meiler
authors.forename: Martin
authors.initials: M
authors.lastname: Will
mesh_terms: D000465:Algorithms; D002247:Carbon Isotopes; D004147:Dioxins / Q000737:chemistry; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008956:Models, Chemical; D016571:Neural Networks, Computer; D014443:Tyrosine / Q000737:chemistry
chemical_list: D002247:Carbon Isotopes; D004147:Dioxins; D014443:Tyrosine