Self-Organizing Neural Networks for Screening and Development of Novel Artificial Sweetener Candidates
- 1 December 2000
- journal article
- review article
- Published by Bentham Science Publishers Ltd. in Combinatorial Chemistry & High Throughput Screening
- Vol. 3 (6) , 481-495
- https://doi.org/10.2174/1386207003331427
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.Keywords
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