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

[ Vol. 3 , Issue. 6 ]

Author(s):

Jaroslaw Polanski, Johann Gasteiger and Krystyna Jarzembek   Pages 481 - 495 ( 15 )

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.

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

Affiliation:

Institute of Chemistry,University of Silesia, Szkolna 9, PL-40006 Katowice, Poland.



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