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ACS Catalysis
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ACS Catalysis
Article . 2016 . Peer-reviewed
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Computer-Aided Laccase Engineering: Toward Biological Oxidation of Arylamines

Authors: Gerard Santiago; Felipe de Salas; M. Fátima Lucas; Emanuele Monza; Sandra Acebes; Ángel T. Martinez; Susana Camarero; +1 Authors

Computer-Aided Laccase Engineering: Toward Biological Oxidation of Arylamines

Abstract

Oxidation of arylamines, such as aniline, is of high industrial interest and laccases have been proposed as biocatalysts to replace harsh chemical oxidants. However, the reaction is hampered by the redox potential of the substrate at acid pH and enzyme engineering is required to improve the oxidation. In this work, instead of trying to improve the redox potential of the enzyme, we aim towards the (transient) substrate’s one and propose this as a more reliable strategy. We have successfully combined a computational approach with experimental validation to rationally design an improved biocatalyst. The in silico protocol combines classical and quantum mechanics to deliver atomic and electronic level detail on the two main processes involved: substrate binding and electron transfer. After mutant expression and comparison to the parent type, kinetic results show that the protocol accurately predicts aniline’s improved oxidation (2-fold kcat increase) in the engineered variant for biocatalyzed polyaniline production.

This study was supported by the INDOX (KBBE-2013-7-613549) EU-project, and the NOESIS (BI0201456388-R) and OxiDesign (CTQ2013-48287-R) Spanish project. GS thanks an FPI grant of the Spanish Ministry of Competitiveness.

10 p.-5 fig.-1 tab.

Peer reviewed

Country
Spain
Keywords

PELE, PANI, Laccase, :Enginyeria electrònica [Àrees temàtiques de la UPC], Proteins, Computer-aided design, Oxidation--Measurement, Oxidació, QM/MM, Arylamines, Enginyeria de proteïnes, Aniline, Protein engineering, Àrees temàtiques de la UPC::Enginyeria electrònica

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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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