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Selective Modifications of ARomatics through Biocatalytic Oxidations

Objective

Although they have the potential to improve the economic and environmental sustainability of biorefineries, oxidative enzymes have not experienced a complete breakthrough yet in the biobased industries. This is mainly caused by the high cost and long time associated with traditional enzyme engineering methods such as directed evolution. SMARTBOX will develop an advanced computational engineering platform specifically for oxidative enzymes, which can automatically screen for improved enzyme variants with minimal human intervention. This is achieved by implementing several innovations into current computational screening methods, most importantly machine learning, which allows to train the algorithms with experimental results. As this significantly improves computational predictability, the time and costs associated with oxidative enzyme engineering will be reduced 10-fold compared to state-of-the-art (SOTA) directed evolution methods.

Relying on the advanced engineering platform, SMARTBOX will develop the one-enzyme conversion of HMF into FDCA and intermediates, and the one-enzyme conversion of lignin monomers into a potential biobased building block for polycarbonates and vanillin. By adopting a 1-enzyme FDCA production process, the associated production costs and carbon footprint are expected to decrease significantly compared to SOTA chemical oxidation methods. The unique feature of SMARTBOX is that reductive catalytic fractionation (RCF) will be used to selectively produce specific lignin monomers from biomass in near theoretical yields. The structural similarity of the resulting monomers with the SMARTBOX building blocks allows the development of high-yielding processes with only one enzyme. Due to the smart combination between oxidative biocatalysis and RCF, the production of bio-aromatics will proceed with higher yields than the state of the art.

Field of science

  • /natural sciences/biological sciences/biochemistry/biomolecules/proteins/enzymes
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-BBI-JTI-2018
See other projects for this call

Funding Scheme

BBI-RIA - Bio-based Industries Research and Innovation action

Coordinator

BIO BASE EUROPE PILOT PLANT VZW
Address
Rodenhuizekaai 1
9042 Desteldonk Gent
Belgium
Activity type
Other
EU contribution
€ 885 375

Participants (10)

RIJKSUNIVERSITEIT GRONINGEN
Netherlands
EU contribution
€ 418 867
Address
Broerstraat 5
9712CP Groningen
Activity type
Higher or Secondary Education Establishments
ZYMVOL BIOMODELING SL
Spain
EU contribution
€ 206 125
Address
Paseo De Ronda 78 1 1
25006 Lleida
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UNIVERSIDADE NOVA DE LISBOA
Portugal
EU contribution
€ 325 521
Address
Campus De Campolide
1099 085 Lisboa
Activity type
Higher or Secondary Education Establishments
UNIVERSITA DEGLI STUDI DI PAVIA
Italy
EU contribution
€ 303 750
Address
Strada Nuova 65
27100 Pavia
Activity type
Higher or Secondary Education Establishments
KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium
EU contribution
€ 807 750
Address
Oude Markt 13
3000 Leuven
Activity type
Higher or Secondary Education Establishments
AVA BIOCHEM BSL AG
Switzerland
EU contribution
€ 391 875
Address
Rothausstrasse 61
4132 Muttenz
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
B4PLASTICS
Belgium
EU contribution
€ 262 400
Address
Paul Lambertlaan 88
3630 Maasmechelen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
COVESTRO DEUTSCHLAND AG
Germany
EU contribution
€ 0
Address
Kaiser Wilhelm Allee 60
51373 Leverkusen
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
BORREGAARD AS
Norway
EU contribution
€ 0
Address
Hjalmar Wessels Vei 6
1721 Sarpsborg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
QUANTIS
Switzerland
EU contribution
€ 322 500
Address
Parc Scientifique Epfl Pse D
1024 Ecublens Vd
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)