Every AI-designed protein and enzyme needs to be tested in the real world. Our wet lab platform handles the full validation pipeline — from first expression to pilot-scale production — with the rigor your project demands.
Computational predictions are a starting point, not a finish line. An AI-designed enzyme might score well in silico and still fail under real process conditions — temperature swings, solvent exposure, substrate competition, or scale. Wet lab validation is where those gaps get found and fixed.
Our platform is built around the workflow that comes after the design work. We handle expression, purification, characterization, and scale-up in a single integrated system, with data flowing back to inform the next design iteration when needed.
Experimental results feed directly back into the computational pipeline, enabling rapid design–test–iterate cycles.
From 96-well plate screening to pilot bioreactor runs, our facility handles the full range of experimental scales without project handoffs.
Use individual services or the full validation package. Project scope and reporting can be customized to your timeline and budget.
Nine specialized service areas covering the complete post-design validation and production workflow.
A structured, data-driven process from initial construct to validated, production-ready protein.
Codon-optimized gene synthesis for your target expression host. Includes vector cloning and sequence verification.
Parallel 96-well screening across multiple hosts, induction conditions, and growth temperatures to identify optimal expression strategy.
IMAC, IEX, and SEC chromatography with SDS-PAGE and LC-MS identity confirmation. Purity and yield data included in report.
Activity assays, kinetics determination, and stability profiling under application-relevant conditions.
Fermentation optimization, pilot production, and downstream processing development for industrial-scale transfer.
Selected references supporting our experimental approaches and technology platform.
Vanella R, Kovacevic G, Doffini V, Fernández de Santaella J, Nash MA. High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering. Chem Commun. 2022. PMID: 35107442
Martiny HM, Almagro Armenteros JJ, Johansen AR, Salomon J, Nielsen H. Deep protein representations enable recombinant protein expression prediction. Comput Biol Chem. 2021. PMID: 34775287
Individual services are available. You can start with protein expression and purification, then add characterization or kinetics analysis as needed. We can also build a custom scope based on your project stage and deliverable requirements.
We work with E. coli, Pichia pastoris, Bacillus subtilis, Streptomyces, insect cells (Sf9/Hi5), and mammalian cells (HEK293, CHO). Host selection is guided by the protein's complexity, glycosylation requirements, and downstream application.
A standard E. coli expression and purification project typically runs 3–4 weeks from gene synthesis to purified protein with QC data. Timelines vary depending on host system, protein complexity, and downstream testing requirements. We provide project-specific timelines in the proposal.
Yes. For challenging proteins, we apply solubility tag screens (MBP, SUMO, Trx, GST), co-expression with chaperones, cell-free expression systems, and inclusion body refolding protocols as needed. Our team has experience with membrane proteins, intrinsically disordered proteins, and high-disulfide targets.
Standard deliverables include purified protein (quantity agreed in project scope), SDS-PAGE and Western blot images, LC-MS identity confirmation, activity data, and a written analysis report. Kinetics projects include Michaelis-Menten plots, fitted parameters (Km, Vmax, kcat), and inhibition data where applicable.
Tell us what you have designed and where you are in the development process. We will build a validation plan that fits your timeline and budget.
Tell us about your project and we'll get back within 24 hours.
