The high-performance computational pipeline for enzyme bioprospecting and design has been specifically adapted to each type of enzyme using cutting-edge machine learning tools, structural modelling and molecular simulations, and feedback from experimental data. All this has enabled massive database searches to identify new enzymes with anticipated properties and predict beneficial mutations.
The development of microbial strains specifically tailored to produce each type of enzyme, combined with the optimization of culture conditions, the design of genetic constructs to enhance protein solubility, and the use of high-throughput techniques have provided a broad panel of novel recombinant oxidative enzymes, some of which are produced at high yields.
The biochemical characterization of the recombinant enzymes obtained so far, and their evaluation in target reactions served to recognize the best enzyme candidates and identify bottlenecks and engineering goals to be addressed in the next period.
For instance, laccase engineering has resulted in notable enhancements of enzyme robustness and activity or in new functionalities. Preliminary lignin oxidation tests have confirmed the stronger modification of the polymer by the new engineered laccases at the required process conditions. In addition, remarkable progress was made in the formulation of lignin-based phenolic resins as adhesives in wood panels.
To sum up, we have identified, expressed, characterized and/or engineered an exclusive assortment of new UPOs, HMFOs and laccases, several of which show strong potential as biocatalysts for the reactions aimed in the project.