Authors: V. Dohnal; K. Kuča 1; D. Jun 1 Authors‘ workplace: Mendelova zemědělská a lesnická univerzita Brno, Agronomická fakulta, Ústav technologie potravin ; Univerzita obrany Hradec Králové, Fakulta vojenského zdravotnictví, Katedra toxikologie 1 Published in: Čes. slov. Farm., 2005; 54, 163-167 Category: Review Articles
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.
Key words: artificial neural networks – molecular descriptors – QSAR – QSP
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