.
Therapeutic antibodies and nanobodies may trigger anti-drug antibody (ADA) responses, potentially impacting Drug safety, Pharmacokinetics, Therapeutic efficacy and Clinical tolerability.
Humanization helps reduce immunogenicity risk while preserving the functional properties of the original nanobody.
Nanobody humanization is a critical step in the development of therapeutic VHH candidates. Although camelid-derived nanobodies exhibit many favorable drug-like properties, their non-human sequences may still introduce immunogenicity risks in clinical applications.
Successful humanization requires more than simple sequence replacement. Humanized nanobodies must retain binding affinity, specificity, stability, and developability while minimizing potential immune responses.
Our nanobody humanization workflows integrate sequence analysis, structural modeling, immunogenicity assessment, and rational engineering strategies to generate humanized VHH candidates with optimized therapeutic potential.
Maintaining Affinity
Preserving Stability
Minimizing Immunogenicity
Maintaining Developability
Immunogenicity-focused optimization
Preservation of affinity and stability
Integrated developability assessment
Flexible downstream validation support
Our workflows combine computational analysis with rational sequence engineering.
Structural Modeling and CDR Preservation
Homology modeling and structural analysis help preserve CDR conformations critical for target binding.
Rational Back-Mutation Design
Selective back-mutations are introduced when necessary to recover affinity or stability.
Immunogenicity Assessment
In silico analysis is performed to identify potential immunogenic sequence liabilities.
PTM and Developability Analysis
Evaluation of Potential post-translational modification sites, aggregation risk, sequence liabilities and expression-related features

|
Service Step |
Deliverables |
Timeline |
|
In silico humanization & Developability analysis |
Humanized sequence panel and analysis report |
1 week |
|
Candidate expression |
Purified humanized VHH proteins |
2 weeks |
|
Binding validation |
Affinity and binding analysis results |
1 week |
Table 1. Humanization of a Therapeutic Nanobody Candidate
|
Antigen |
Loading Sample ID |
KD (M) |
kon(1/Ms) |
kdis(1/s) |
Full X^2 |
Full R^2 |
|
Human protein |
C6-HZ |
3.46E -09 |
1.45E+05 |
5.02E-04 |
0.006 |
0.9988 |
|
C6 |
3.728-09 |
1.39E+05 |
5.15E-04 |
0.0134 |
0.9985 |
|
|
Cyno protein |
C6-HZ |
2.78E-08 |
2.00E+03 |
5.56E-05 |
0.0096 |
0.9993 |
|
C6 |
2.14E-08 |
2.42E+03 |
3.05E-05 |
0.011 |
0.9995 |
What is the workflow of single-domain antibody humanization? What are the deliverables and success criteria? Single-domain antibody humanization adopts the classic CDR grafting & back mutation method. Deliverables include humanized antibody sequences, recombinant humanized antibody proteins and project reports. The success criterion is that the affinity loss of the humanized sequence is no more than 3-fold compared with the parental sequence.
What is the cycle of single-domain antibody humanization? The overall cycle of single-domain antibody humanization is generally 4 weeks: 1 week for humanized antibody design, 2 weeks for protein expression of humanized antibodies, and 1 week for activity and affinity validation.
Which factor deserves more attention for single-domain antibodies, humanization level or immunogenicity? Even fully human antibodies may induce anti-drug antibodies (ADA). The immunogenicity of single-domain antibodies deserves more attention than humanization level.