We engineer enzymes with enhanced catalytic activity, substrate specificity, and operational stability. Enginoma combines deep learning predictions with high-throughput wet lab screening to deliver production-ready biocatalysts.
Traditional directed evolution requires screening millions of variants through iterative rounds of mutagenesis. Our AI platform dramatically accelerates this process by computationally predicting the most promising mutations before any wet lab work begins.
AI-guided mutation prediction dramatically reduces screening libraries. Our integrated approach accelerates development compared to traditional directed evolution methods.
Access catalytic activities and substrate scopes that natural enzymes have not evolved. Engineer enzymes for non-natural substrates and synthetic chemistry applications.
Engineer thermostability, pH tolerance, organic solvent resistance, and protease resistance. Our designs withstand real manufacturing conditions, not just lab assays.
Smaller screening libraries mean lower reagent costs and less manual labor. Clients typically see 20-40% reduction in overall enzyme development costs.
From structure analysis to variant validation, our platform covers the full enzyme optimization workflow.
We analyze enzyme 3D structures using Enginoma Structure predictions and experimental PDB data to identify catalytic residues, binding pockets, and flexible regions amenable to optimization.
Our protein language models trained on sequence-function datasets predict beneficial single and multi-site mutations. We rank variants by predicted activity, stability, and expressibility.
We express variants in E. coli, yeast, or mammalian systems and characterize activity, selectivity, thermostability (Tm), and kinetic parameters (kcat, Km) using automated assays.
Comprehensive enzyme optimization across all major enzyme classes
Increase turnover rate and catalytic efficiency
We identify rate-limiting steps in catalytic cycles and engineer residues to lower activation barriers. Our platform optimizes active site geometry and dynamic loops for improved catalytic performance.
Engineer acceptance of non-natural substrates
Redesign binding pockets to accommodate non-natural substrates while maintaining catalytic geometry. We engineer enzymes for pharmaceutical intermediates, specialty chemicals, and bio-based materials.
Increase operational temperature range
Introduce stabilizing mutations—salt bridges, disulfide bonds, hydrophobic core packing—to increase Tm by 10-20°C. Our designs maintain full activity at elevated temperatures and show extended shelf life.
Engineer for process conditions
Engineer enzymes that function in organic co-solvents, at extreme pH, and in the presence of proteases. Critical for industrial biocatalysis where process conditions deviate from physiological.
Integrated computational design followed by experimental characterization at each stage
We analyze your enzyme sequence and structure, define target properties (activity, specificity, stability), and establish screening assays and success criteria.
Our AI models predict beneficial mutations and generate focused libraries of 50-200 variants, ranked by predicted improvements in target properties.
Variants are expressed in suitable hosts and screened for activity, thermostability, and other target properties using automated microtiter assays.
Lead variants undergo detailed kinetic characterization (kcat, Km), scale-up testing, and delivery of sequence data plus activity report.
Engineered enzymes are transforming processes across multiple industries
Enzymes for API synthesis, chiral intermediate production, and regioselective transformations. Reduce chemical steps and eliminate heavy metal catalysts.
Process-stable enzymes for bulk chemical production, polymer modification, and waste treatment. Engineered for continuous flow reactors.
Enzymes for food processing, feed additive production, and crop protection. Improve nutritional value and processing efficiency.
Cellulases, lipases, and oxidoreductases for biofuel production, biomass conversion, and energy storage applications.
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 activity on recalcitrant pollutants.
Our pipeline builds on peer-reviewed methods published in leading journals
Yang, K.K., Wu, Z., Arnold, F.H. Machine-learning-guided directed evolution for protein engineering. Nature Methods 16, 687-694 (2019). https://doi.org/10.1038/s41592-019-0496-6
Comprehensive review of ML approaches for enzyme engineering.Li, Z., Deng, Y., Yang, G.-Y. Growth-coupled high throughput selection for directed enzyme evolution. Biotechnology Advances 68, 108238 (2023). https://doi.org/10.1016/j.biotechadv.2023.108238
Review of directed evolution methods and recent advances.Notin, P. et al. Tranception: Protein fitness prediction with autoregressive transformers and inference-time retrieval. ICML (2022). https://doi.org/10.48550/arXiv.2205.13760
Transformer-based protein fitness prediction for variant scoring.Wittmann, B.J. et al. Advances in machine learning for directed evolution. Current Opinion in Biotechnology 75, 102713 (2022). https://doi.org/10.1016/j.copbio.2022.02.003
ML-guided directed evolution: from sequence to function.Huang, P.-S. et al. The coming of age of de novo protein design. Nature 537, 320-327 (2016). https://doi.org/10.1038/nature19946
Foundations of computational enzyme and protein design.We design all six EC classes: oxidoreductases, transferases, hydrolases, lyases, isomerases, and ligases. Our platform handles both natural enzyme optimization and de novo design for non-natural reactions.
We combine structure-guided design with directed evolution simulation. Our AI models predict beneficial mutations, while our wet lab team validates variants through high-throughput screening.
Yes. We engineer thermostability, pH tolerance, organic solvent resistance, and protease resistance for process-ready biocatalysts.
Yes. We offer full protein expression services in E. coli, yeast, and mammalian systems, plus downstream purification and quality characterization to deliver production-ready enzymes.
Whether you need higher activity, broader substrate scope, or improved process stability, our team can deliver optimized enzymes for your application.
Tell us about your project and we'll get back within 24 hours.
