Combinatorial Chemistry & High Throughput Screening

Author(s): Jaroslaw Polanski, Johann Gasteiger and Krystyna Jarzembek

DOI: 10.2174/1386207003331427

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Self-Organizing Neural Networks for Screening and Development of Novel Artificial Sweetener Candidates

Page: [481 - 495] Pages: 15

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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.