Sapiens humanization
Model-guided variable-domain humanization with exact residue-level comparisons.
Start this methodHumanization method
Generate humanized variants or measure exact OAS repertoire 9-mer prevalence, then inspect the sequence-level evidence before selecting candidates.
Choose an approach
Select the analysis that best matches your scientific question. Each approach opens with its relevant inputs and controls.
Model-guided variable-domain humanization with exact residue-level comparisons.
Start this methodCDR grafting with optional Vernier restoration and Sapiens refinement.
Start this methodExact overlapping 9-mer prevalence, OASis identity, therapeutic-mAb percentile, and residue-linked rare-peptide evidence.
Start this methodPrepare
Start from a protein or annotated-sequence Dataset with one sequence per row and an H, K, or L chain assignment.
sequenceH, K, or LHow the analysis starts
Choose a Project, open a compatible Dataset, then select the rows you want to analyze. Ubi will open this method with the compatible controls and column mappings ready to review.
These controls appear in the Dataset analysis panel, where values can be checked against the actual input before the run starts.
Analysis
Choose sequence design when proposing variants, or repertoire scoring when comparing existing candidates.
Humanization method
Choose model-guided substitutions or graft CDRs onto a human germline framework.
Numbering and CDR definition
Use the convention that matches your sequence review and downstream assays.
Residue treatment
Control optimization depth and whether parental Vernier residues are restored.
Results open with the figures, structures, sequences, and metrics needed to answer the scientific question. Downloadable files remain available for downstream analysis.
Review numbered substitutions by framework or CDR region.
Compare assigned residue scores before and after humanization.
For humanization, inspect V/J assignments and mutations; for OASis, inspect identity, percentile, and human/non-human 9-mer counts.
Locate each low-prevalence overlapping 9-mer and see which numbered residues it affects.
Use a complementary method on the same Project data.