Prediction of Predominant Configuration in the Enantioselective Reduction of beta-Ketoacid Derivates with Baker's Yeast Using Neural Networks

Didier Villemin (1) , Driss Cherqaoui (1) , Abdelhalim Mesbah (2)

1 LCMT - Laboratoire de chimie moléculaire et thioorganique
2 UCA - Université Cadi Ayyad [Marrakech]

Mots clés: beta-ketoacid; Faculty of Sciences; Labex EMC3; prediction; neural networks * Corresponding Authors E-Mail: villemin@ensicaenfr [a] Normandie Université; Marocco; UMR CNRS 6507; INC3M; 14050 Caen; France [b] University Cadi Ayyad; LCMT; Labex SynOrg; enantioselectivity; reduction; ENSICAEN; Depart Chemistry; BP 2390; FR 3038; France; Marrakech

Domaines: Chimie organique

Didier Villemin, Driss Cherqaoui, Abdelhalim Mesbah. Prediction of Predominant Configuration in the Enantioselective Reduction of beta-Ketoacid Derivates with Baker's Yeast Using Neural Networks. European Chemical Bulletin, 2016, 5, pp.129 - 131. ⟨hal-02381040⟩