title: [Methods of artificial intelligence: a new trend in pharmacy].
abstract: Artificial neural networks (ANN) and genetic algorithms are one group of methods called artificial intelligence. The application of ANN on pharmaceutical data can lead to an understanding of the inner structure of data and a possibility to build a model (adaptation). In addition, for certain cases it is possible to extract rules from data. The adapted ANN is prepared for the prediction of properties of compounds which were not used in the adaptation phase. The applications of ANN have great potential in pharmaceutical industry and in the interpretation of analytical, pharmacokinetic or toxicological data.
authors.affiliation: Mendelova zemedelská a lesnická univerzita Brno, Agronomická fakulta, Ustav technologie potravin. dohnal@mendelu.cz
authors.forename: V
authors.initials: V
authors.lastname: Dohnal
authors.forename: K
authors.initials: K
authors.lastname: Kuca
authors.forename: D
authors.initials: D
authors.lastname: Jun
mesh_terms: D002626:Chemistry, Pharmaceutical; D016571:Neural Networks, Computer; D021281:Quantitative Structure-Activity Relationship