Title
High throughput screening and QSAR-3D/CoMFA: Useful tools to design predictive models of substrate specificity for biocatalysts
Date Issued
01 January 2004
Access level
open access
Resource Type
journal article
Author(s)
Carballeira J.
Álvarez E.
Sinisterra J.
Universidad Complutense de Madrid
Publisher(s)
Molecular Diversity Preservation International
Abstract
After a hierarchical microbial screening process, new microorganisms have been discovered that act as biocatalysts for the stereoselective oxidation of secondary alcohols or for ketone reduction. Oxidation activity is more widespread in yeasts and bacteria, while actinomycetes, filamentous fungi and yeasts present the highest reduction activities. QSAR-3D/CoMFA is an adequate technique to design predictive models of the biocatalysts' activity. In this paper CoMFA models are designed to compare the activities of the biocatalysts selected for the oxidation of alcohols and for the reduction of ketones, starting from the results obtained during the screening process. These models are useful for learning about the activity of these microorganisms and to compare the substrate specificity requirements between alcohol oxidation and ketone reduction biocatalysts.
Start page
673
End page
693
Volume
9
Issue
8
Language
English
OCDE Knowledge area
Química orgánica
Scopus EID
2-s2.0-84962407670
PubMed ID
Source
Molecules
ISSN of the container
14203049
Sources of information: Directorio de Producción Científica Scopus