✦ LIBER ✦

Quantitative structure-enantioselectivity relationships using neural networks. Bioconversion of carbonyl compounds using baker's yeast

✍ Scribed by Driss Zakarya; Lahbib Farhaoui; Souâd Fkih-Tétouani

Publisher: John Wiley and Sons
Year: 1996
Tongue: English
Weight: 372 KB
Volume: 9
Category: Article
ISSN: 0894-3230
DOI: 10.1002/(sici)1099-1395(199610)9:10<672::aid-poc827>3.0.co;2-5

No coin nor oath required. For personal study only.

✦ Synopsis

Quantitative structure-enantioselectivity relationships were studied for the reduction of a set of 73 carbonyl compounds with bakers yeast. The established model, using a neural network, allowed the prediction of the reduction selectivity (% S enantiomer) with success. The correlation coefficient between the observed and calculated %S was 0.99. The model was also used to predict the enantioselectivity of the reduction of adiketones using bakers yeast and different microorganisms.