From AI-powered computational design to wet lab validation, our comprehensive enzyme engineering platform delivers production-ready biocatalysts optimized for your specific application needs.
Our integrated AI-powered platform combines computational design with high-throughput wet lab validation to deliver optimized enzymes faster and more reliably than traditional approaches.
AI-guided mutation prediction reduces screening libraries dramatically while achieving significant improvements in catalytic efficiency.
Our integrated approach significantly reduces development timelines compared to traditional directed evolution methods.
Engineered for thermostability, pH tolerance, and organic solvent resistance. Tm improvements of 10-20°C standard.
Full QC documentation, sequence data, and characterization reports for regulatory submissions.
Tailored services for every stage of enzyme development
Enhance catalytic activity, substrate specificity, and operational stability using our AI-guided design platform combining structure analysis and ML predictions.
Learn More →Create entirely novel enzymes from scratch for non-natural reactions using cutting-edge deep learning approaches like family-wide hallucination.
Learn More →Improve thermostability, pH tolerance, and solvent resistance using ML-predicted stabilizing mutations and rational design strategies.
Learn More →Advanced computational tools combined with high-throughput experimental validation
Enginoma Structure predictions and PDB data guide active site analysis, pocket optimization, and residue engineering decisions.
ESM, Tranception, and custom models trained on sequence-function datasets predict beneficial mutations without experimental data.
Automated microtiter screening, thermal shift assays, and kinetic characterization validate AI predictions efficiently.
All six EC classes supported
Multiple host options for optimal production
Quantifiable improvements in target properties
Complete documentation package
Streamlined workflow from computational design to validated enzyme delivery
Define enzyme properties, success criteria, and screening assays based on your application requirements.
AI models predict beneficial mutations and generate focused variant libraries ranked by predicted improvements.
Variants expressed and screened using automated assays for activity, stability, and target properties.
Lead variants scaled up with full characterization and documentation package delivery.
"The combination of rational design and directed evolution yielded a 25-fold increase in our target enzyme's turnover rate, which was critical for process economics."
"We struggled to find a lipase with sufficient solvent tolerance. Their comprehensive optimization service delivered a variant stable in 40% organic solvent, a game-changer for our synthesis."
"The de novo enzyme design service successfully engineered an initial scaffold for a completely novel C-H activation reaction, an area previously considered impossible for biocatalysis."
Engineered enzymes for pharmaceutical, industrial, and emerging applications
Enzymes for API synthesis, chiral resolution, and stereoselective transformations. Reduce chemical steps and eliminate heavy metal catalysts.
Process-stable enzymes for bulk chemical production, polymer modification, and specialty ingredients. Engineered for flow reactors.
Enzymes for food processing, feed additives, and crop protection. Improve nutritional value and processing efficiency.
Cellulases, lipases, and oxidoreductases for biofuel production, biomass conversion, and sustainable manufacturing.
Highly specific enzymes for diagnostic assays, biosensor signal generation, and point-of-care testing platforms.
Enzymes for bioremediation, plastic degradation, and wastewater treatment. Engineered for recalcitrant pollutants.
Our platform builds on peer-reviewed methods published in leading journals
Xie, W.J. & Warshel, A. Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering. Natl Sci Rev 10, nwad331 (2023). https://doi.org/10.1093/nsr/nwad331
Review of generative AI applications in enzyme engineering.Yeh, A.H.-W., Norn, C., Kipnis, Y., et al. De novo design of luciferases using deep learning. Nature 614, 774-780 (2023). https://doi.org/10.1038/s41586-023-05696-3
Deep learning design of custom luciferases from scratch.Zimmerman L, Alon N, Levin I, Koganitsky A, Shpigel N, Brestel C, Lapidoth GD Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes. PNAS 121, e2313809121 (2024). https://doi.org/10.1073/pnas.2313809121
CoSaNN strategy for thermally stable enzyme design.Braun M, Gruber CC, Krassnigg A, et al. Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design. ACS Catalysis 13, 14454-14469 (2023). https://doi.org/10.1021/acscatal.3c03417
Paradigm shift in ML-guided enzyme engineering.Notin, P., Dias, M., Frazer, J., et al. Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval. ICML 2022 (2022). https://proceedings.mlr.press/v162/notin22a.html
State-of-the-art protein fitness prediction using autoregressive transformers with retrieval mechanism.We offer comprehensive enzyme design services including AI-driven enzyme optimization, de novo enzyme design, stability engineering, and substrate scope expansion. Our platform covers all six EC enzyme classes: oxidoreductases, transferases, hydrolases, lyases, isomerases, and ligases.
We deliver enzymes with detailed QC documentation including SDS-PAGE analysis, HPLC purity data, and activity assay results. Each project includes comprehensive quality characterization.
Yes. We offer seamless scale-up from milligram to kilogram quantities using our established fermentation and purification infrastructure. We support Titer from 300L to 20,000L production runs.
Our engineered enzymes serve pharmaceutical manufacturing, industrial biocatalysis, food processing, biofuels, and environmental bioremediation applications. We work closely with clients to ensure enzymes meet specific process requirements.
Whether you need higher activity, broader substrate scope, or improved process stability, our team can deliver optimized enzymes for your application.
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