SOURCE-LINKED INTELLIGENCE
Ligninolytic Enzymes: Keys to unlock the hidden potential of lignin
long process times. Aims and objective: I hypothesize that a cocktail of engineered stress tolerant, active and stable peroxidases could lead to synergistic biodegradation of lignin. To achieve this, artificial intelligence (AI) tailored LiP, MnP, VP and DyP will be cloned and expressed as inclusion bodies (IBs) in E. coli using Prof. Spadiut’s expertise whereas mine will employ solubilization and refolding strategies to increase the overall yield of bioactive protein. An ideal stoichiometric combination of engineered peroxidases will be standardized to withstand the harsh conditions of industrial effluent, resulting in a sustainable and economic ligninolytic technology. Concluding remarks: The project is inspired from nature, backed with AI and stemmed with the expertise of mine and Prof. Spadiut’s in producing recombinant bioactive protein from bacterial IBs while TU Wien’s decades of experience in commercializing the technology will be a fertile playground to bow the seeds of a sustainable ligninolytic technology. Bacterial inclusion bodies, protein folding, protein engineering, p
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 183600.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.