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Engineering a Highly Regioselective Fungal Peroxygenase for the Synthesis of Hydroxy Fatty Acids (Póster)

Authors: Gómez de Santos, Patricia; González-Benjumea, Alejandro; Fernández-García, Ángela; Aranda, Carmen; Wu, Yinqi; But, Andrada; Molina-Espeja, Patricia; +12 Authors

Engineering a Highly Regioselective Fungal Peroxygenase for the Synthesis of Hydroxy Fatty Acids (Póster)

Abstract

The hydroxylation of fatty acids is an appealing reaction in synthetic chemistry, although the lack of selective catalysts hampers its industrial implementation. In this study, we have engineered a highly regioselective fungal peroxygenase for the ¿-1 hydroxylation of fatty acids with quenched stepwise over-oxidation. One single mutation (A77L, Fett variant) found by structural studies and saturation mutagenesis near the Phe catalytic tripod narrowed the heme cavity, promoting a dramatic shift toward subterminal hydroxylation with a drop in the over-oxidation activity as determined by GC/MS. While molecular dynamic simulations shed light on this unique oxidation pattern, the selective biocatalyst was overexpressed in Pichia pastoris at 0.4 g/L-1 operating a fed-batch bioreactor and used for the preparative synthesis of 1.4 g of (¿-1)-hydroxytetradecanoic acid with 95% regioselectivity and 83% ee for the S-enantiomer.

Póster presentado en el XVIII Congreso de la Sociedad Española de Biotecnología celebrado en Madrid del 17 al 20 de julio de 2023

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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