De Novo Enzyme Designing
Expert, end-to-end De Novo Enzyme Designing from BioCode — send us your data and research question and we deliver the analysis, a clear report and reproducible code you can publish with confidence.
- Confidential & NDA-friendly
- Report + reproducible code
- Real research datasets
Computational de novo enzyme design
De novo enzyme design aims to computationally create new enzymes, or substantially re-engineer existing ones, to catalyse target reactions that may not exist in nature. By combining catalytic-site (theozyme) design, scaffold selection, deep-learning protein design and molecular modelling, it is possible to build biocatalysts with novel or improved activity, specificity and stability.
We support enzyme engineering and design projects from concept through to computationally validated candidates, ready for experimental testing.
Our Services
- Active-site (theozyme) and catalytic-mechanism design
- Scaffold selection and de novo backbone generation
- Deep-learning sequence design for chosen scaffolds
- Mutation prioritisation for activity and thermostability
- Substrate docking and binding-mode analysis
- Molecular-dynamics validation of designs
- Stability and solubility optimisation
- Candidate ranking for experimental screening
These approaches power applications in green chemistry, industrial biocatalysis, biosynthesis and therapeutic enzyme development.
Tell us about your
analysis
Share your research question and dataset and we'll get back to you with a scope, timeline and quote — usually within one to two working days.
- Attach data: PDF, DOCX, PDB, SDF, CSV, XLS, XLSX
- No-obligation quote
- Replies within 24–48 hours
