Validate AI-designed enzyme and protein variants at scale. Our automated wet-lab screening platform translates computational predictions into functional data—rapidly identifying top performers from engineered libraries across diverse selection criteria.
High-throughput screening is the critical wet-lab step that converts AI-generated variant predictions into experimentally confirmed hits. Our automated platforms enable rapid, systematic evaluation of engineered libraries to validate computational designs.
Systematically validate AI-designed enzyme and protein variants using automated assay platforms. Experimental data directly informs computational predictions and guides next-round design cycles.
Generate kinetic measurements, stability profiles, and selectivity data for each screened variant. Rich experimental datasets close the loop between AI model outputs and real-world enzyme performance.
Primary hits from initial screens are confirmed by independent orthogonal assays and counter-screens. Multi-round validation ensures only genuine leads advance to downstream characterization and process development.
We combine automated liquid handling, tailored assay development, and rigorous statistical analysis to convert computational designs into experimentally confirmed leads.
Our assay development team creates robust, miniaturized assays optimized for high-throughput formats. Assay performance is systematically characterized before proceeding to full-scale screening to minimize false positives and ensure reproducibility.
We handle all aspects of library transformation, colony picking, and expression. Our automated systems ensure consistent expression levels across variants, minimizing false positives from expression variation.
Our liquid handling robots and multi-mode plate readers enable screening at scale. Miniaturized formats allow processing of large variant libraries with consistent precision and parallel multi-parameter readouts.
Our bioinformatics pipeline processes screening data with statistical rigor. We identify true hits using robust statistical methods, cluster analysis, and machine learning to prioritize variants for follow-up characterization.
Full-service high-throughput screening for enzyme engineering and protein discovery, integrated with AI design workflows.
Screen variant libraries for catalytic activity against target substrates. Supports oxidoreductases, transferases, hydrolases, lyases, isomerases, and ligases.
Identify variants with enhanced stability for thermal, pH, solvent, and protease resistance. Critical for industrial biocatalysis applications.
Screen for multiple properties simultaneously—identify variants with the right combination of activity, selectivity, and stability in a single campaign.
Our automated screening platform combines cutting-edge robotics with advanced detection systems for reliable, reproducible results.
High-precision liquid handling systems for accurate reagent dispensing from nanoliters to milliliters, supporting miniaturized screening formats.
Versatile plate readers supporting multiple detection modes for comprehensive enzyme and protein characterization across diverse assay formats.
Automated colony picking and expression systems ensure efficient, reproducible library processing with consistent quality across variant sets.
We combine hands-on screening expertise with automated platforms to deliver experimentally validated leads from AI-designed libraries.
Screening campaigns are designed around the output of AI design pipelines. Variant libraries are prioritized, expressed, and tested in direct correspondence with computational predictions.
Automated systems handle library transformation, colony picking, and expression at scale. Capacity is matched to project scope, supporting focused variant sets and broad diversity libraries.
Dedicated assay development scientists work with you to create robust screens tailored to your specific targets, selection criteria, and downstream application requirements.
Your proprietary libraries and screening data are protected with strict confidentiality protocols and secure data handling practices throughout the project lifecycle.
Wet lab screening campaigns that validate AI-designed enzyme variants across diverse industrial and research applications.
Screen saturation mutagenesis or combinatorial libraries of AI-designed enzyme variants for improved thermal tolerance. Automated plate-based assays evaluate activity retention across temperature gradients to identify thermostable candidates for industrial processes.
Screen variant libraries for enantio- or regioselectivity in asymmetric synthesis. Counter-screening against side reactions isolates variants that deliver the desired chiral product, supporting pharmaceutical and fine chemical manufacturing.
Multiplexed screening campaigns evaluate activity, stability, and solvent tolerance in parallel. Orthogonal assay readouts identify balanced variants that perform across the full range of demanding biocatalytic conditions.
High-throughput expression screening evaluates solubility and yield of AI-designed constructs across multiple host systems. Rapid identification of well-expressing clones accelerates downstream purification and functional characterization.
A systematic approach from project consultation to validated hit delivery.
Technical discussion of targets, selection criteria, library format, and screening strategy. Feasibility assessment and project planning.
Assay optimization in microplate format. Statistical characterization and miniaturization. Validation with positive and negative controls.
Automated screening of variant libraries. Real-time data acquisition and preliminary analysis. Primary hit identification.
Orthogonal assay confirmation, counter-screen validation, and dose-response analysis. Ranking, prioritization, and comprehensive report delivery.
Our methods are grounded in peer-reviewed research from leading journals and institutions.
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 (Camb). 2022;58(15):2455-2467.
Ramírez-Palacios C, Marrink SJ. Super high-throughput screening of enzyme variants by spectral graph convolutional neural networks. J Chem Theory Comput. 2023;19(14):4668-4677.
Common questions about our high-throughput screening services.
Capacity is scaled to match project requirements. Our robotic platforms support multiple microplate formats, enabling processing of focused variant sets or broad diversity libraries depending on your engineering goals. Contact us to discuss scale and timeline.
We offer fluorescence, luminescence, absorbance, FRET, HTRF, and AlphaScreen detection. The Enginoma platform supports both endpoint and kinetic measurements for comprehensive enzyme characterization.
Our assay development team works with clients to design robust, miniaturized assays compatible with high-throughput formats. Assay performance is systematically characterized before proceeding to full-scale screening to ensure reproducibility and minimize false positives.
Yes. Our multiplexed screening capabilities allow simultaneous evaluation of activity, selectivity, and stability. We can integrate multiple assay readouts to identify variants with the desired combination of properties.
We provide comprehensive data analysis including hit identification, statistical validation, dose-response curves, and clustering analysis. Raw data, analyzed results, and interactive visualizations are delivered with each screening campaign.
Contact our screening team to discuss your project. We will review your variant library and selection criteria to design a tailored wet-lab screening plan.
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