Phage display libraries: Screen random peptide libraries to identify binding motifs .
Alanine scanning mutagenesis: Systematically replace residues in the antigen’s extracellular domain to pinpoint critical binding regions .
Structural modeling: Use cryo-EM or X-ray crystallography paired with computational docking (e.g., RosettaAntibody) .
Cross-reactivity profiling: Test against homologs (e.g., HER2/HER3 for EGFR-targeting antibodies) .
Fluorophore conjugation: Optimize dye-to-antibody ratios (e.g., 5–10:1 for Alexa Fluor 647) to minimize quenching .
Compatibility validation: Assess performance in CODEX or Imaging Mass Cytometry workflows .
| Assay Type | Reported KD (M) | Conditions | Source |
|---|---|---|---|
| Flow cytometry | 2.6 × 10⁻⁹ | SAS cells | |
| Surface plasmon resonance | 8.3 × 10⁻⁹ | HSC-2 cells |
Buffer standardization: Ensure consistent pH (7.4), temperature (25°C), and salt concentrations.
Kinetic analysis: Compare association/dissociation rates (e.g., Biacore vs. Octet systems) .
Subclass switching: Convert from IgG1 to IgG2a/IgG2b to augment antibody-dependent cellular cytotoxicity (ADCC) .
Glycoengineering: Introduce afucosylated Fc regions to boost FcγRIIIa binding .
Bispecific designs: Fuse with anti-CD3 scFv for T cell recruitment in solid tumors .
Zero-shot design: Train deep learning models on structural databases (e.g., PDB) to propose CDR variants with improved affinity .
High-throughput screening: Use E. coli display and ACE assays to test >400,000 designs in parallel .
Affinity maturation bypass: Directly generate sub-nanomolar binders (e.g., HER2-targeting designs in ).
IEDB cross-referencing: Compare epitope sequences with Immune Epitope Database entries to identify overlaps .
Benchmarking: Use standardized cell lines (e.g., NCI-60 panel) for inter-laboratory reproducibility .