Title: Self-Organizing Neural Networks for Screening and Development of Novel Artificial Sweetener Candidates
Volume: 3
Issue: 6
Author(s): Jaroslaw Polanski, Johann Gasteiger and Krystyna Jarzembek
Affiliation:
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.