Literature DB >> 29667758

Synthesis of Enantiomerically Enriched Drug Precursors by Lactobacillus paracasei BD87E6 as a Biocatalyst.

Selda Öksüz1, Engin Şahin1, Enes Dertli1.   

Abstract

Global sales of single enantiomeric drug products are growing at an alarming rate every year. A total of 7 bacterial strains were screened for their ability to reduce acetophenones to its corresponding alcohol. Among these strains Lactobacillus paracasei BD87E6 was found to be the most successful biocatalyst to reduce the ketones to the corresponding alcohols. The reaction conditions were systematically optimized for the reducing agent Lactobacillus paracasei BD87E6, which showed high enantioselectivity and conversion for the bioreduction. The preparative scale asymmetric reduction of 3-methoxyacetophenone (1h) by Lactobacillus paracasei BD87E6 gave (R)-1-(3-methoxyphenyl)ethanol (2h) with 92% yield and 99% enantiomeric excess. Compound 2h could be used for the synthesis of (S)-rivastigmine which has a great potential for the treatment of Alzheimer's disease. This study demonstrates that Lactobacillus paracasei BD87E6 can be used as a biocatalyst to obtain chiral carbinol with excellent yield and selectivity. The whole cell catalyzed the reductions of ketone substrates on the preparative scale, demonstrating that Lactobacillus paracasei BD87E6 would be a valuable biocatalyst for the preparation of chiral aromatic alcohols of pharmaceutical interest.
© 2018 Wiley-VHCA AG, Zurich, Switzerland.

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Keywords:  zzm321990Lactobacillus paracaseizzm321990; asymmetric synthesis; biocatalysis; chirality; drug precursor

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Year:  2018        PMID: 29667758     DOI: 10.1002/cbdv.201800028

Source DB:  PubMed          Journal:  Chem Biodivers        ISSN: 1612-1872            Impact factor:   2.408


  1 in total

1.  Green and scalable synthesis of chiral aromatic alcohols through an efficient biocatalytic system.

Authors:  Meng-Nan Han; Xu-Ming Wang; Chao-Hong Pei; Chao Zhang; Zhidong Xu; Hong-Lei Zhang; Wei Li
Journal:  Microb Biotechnol       Date:  2020-05-31       Impact factor: 5.813

  1 in total

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