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

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

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 3 , Issue 6 , 2000


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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.

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Article Details

VOLUME: 3
ISSUE: 6
Year: 2000
Published on: 01 March, 2012
Page: [481 - 495]
Pages: 15
DOI: 10.2174/1386207003331427
Price: $65

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