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STRUCTURE-ENANTIOSELECTIVITY RELATIONSHIPS USING NEURAL NETWORKS FOR THE REDUCTION OF CARBONYL-COMPOUNDS WITH BAKERS-YEAST

Authors

ZAKARYA D FARHAOUI L FKIHTETOUANI S

Citation

D. Zakarya et al., STRUCTURE-ENANTIOSELECTIVITY RELATIONSHIPS USING NEURAL NETWORKS FOR THE REDUCTION OF CARBONYL-COMPOUNDS WITH BAKERS-YEAST, Tetrahedron letters, 35(28), 1994, pp. 4985-4988

Citations number

Categorie Soggetti

Chemistry Inorganic & Nuclear

Journal title

Tetrahedron letters → ACNP

ISSN journal

00404039

Volume

Issue

Year of publication

1994

Pages

4985 - 4988

Database

ISI

SICI code

0040-4039(1994)35:28<4985:SRUNNF>2.0.ZU;2-L

Abstract

Structure-enantioselectivity relationships were established for the re duction of a set of 41 carbonyl compounds with baker's yeast. The obta ined neural network model, allows the classification of the 41 alcohol s (obtained by baker's yeast reduction) as R or S with 85% of success. The implicit rules detected by the neural network were given.