Antibody Affinity Maturation Service
Affinity maturation is the natural process by which the immune system increases an antibody's binding strength and specificity through rapid somatic hypermutation and antigen-driven selection. By replicating and surpassing this process in vitro, we generate antibodies with higher affinity and greater stability to meet the stringent requirements of therapeutic and diagnostic applications.
In vivo, B cells in germinal centers undergo somatic hypermutation to diversify their antibody repertoires. Antigen-presenting cells and helper T cells then apply selective pressure, expanding clones with the strongest antigen binding. The result is a pool of high-affinity, highly specific effector antibodies.
Creative Diagnostics combines phage display technology with AI-driven structural prediction and optimization to:
- Perform high-throughput mutation screening, covering millions to billions of variant combinations
- Use intelligent modeling to pinpoint critical amino acid residues and reduce experimental guesswork
- Conduct multi-stage selection, from initial enrichment to precision screening, ensuring functional and stable variants
Through advanced deep-learning algorithms, paired with a mature phage library platform, we rapidly build, express, and screen multiple rounds of optimized antibodies—significantly boosting affinity and compressing the maturation timeline.
Service Offerings
| Stage | AI-Driven Workflow | Phage Display Workflow |
| 1. Parent Assessment | Confirm original antibody-antigen binding affinity; measure kinetic parameters (KD, ka, kd) | |
| 2. Library Design | - With complex structure: AI modeling of antigen–antibody complex to locate optimizeable residues - Without complex: independent modeling to identify key CDR regions and plan library design |
Design CDR-targeted or saturation mutation libraries; construct phage display library |
| 3. Library Screening | High-throughput phage library display with primary and secondary screening | Round 1: broad enrichment Round 2: focused high-affinity selection |
| 4. Expression & Purification | Recombinant expression; Protein A/G affinity purification; SDS–PAGE and HPLC purity analysis | |
| 5. Quality Control | SPR/BLI affinity measurement; thermal stability and aggregation assessment; endotoxin and host DNA testing | |
| 6. Deliverables | Top 3 antibodies (0.5 mg each strain; at least one with ≥5-fold affinity improvement); amino acid sequences; expression plasmids; CoA (purity, affinity, stability data) | |
Key Benefits
- Rapid Turnaround: Parallel AI prediction and phage screening complete the process in 6–8 weeks
- High Reliability: Multi-round selection and stringent QC ensure significant, reproducible affinity gains
- Custom Flexibility: Supports various expression systems and antibody formats
- Integrated Technology: Seamless AI-experiment integration maximizes coverage of high-quality variants
Workflow
Project kickoff and requirements gathering
Parent antibody affinity assessment and optimization plan
Library design and construction (AI modeling or CDR mutagenesis)
Phage display screening (initial and focused rounds)
Antibody expression and purification
Comprehensive QC (SPR/BLI, stability)
Deliverables: antibody samples, sequences, plasmids, and CoA
Applications
- Therapeutic monoclonal antibody candidate optimization
- Diagnostic reagent and labeled antibody development
- Enhanced immunoassay methods (ELISA, IHC, etc.)
- Research antibodies with improved specificity
Considerations
- Provide accurate antibody sequences and antigen information to ensure precise modeling and screening
- Sign an NDA for proprietary or patent-sensitive sequences
- Optimize antigen preparation (stability and solubility) for best screening results
- Project timeline and cost may vary based on complexity and customization
Choose our antibody affinity maturation service to obtain high-quality, high-affinity candidates in the shortest time and propel your biologics and diagnostics projects to success. Contact us for detailed quotations and expert support.
