Structure of the Fab fragment of a humanized 5E5 antibody to a cancer-specific Tn-MUC1 epitope
Bibliographic record
Abstract
The structure of the humanized Fab from murine monoclonal antibody 5E5 specific for tumor antigen Tn-MUC1 has been determined to 1.57 Å resolution. Despite undertaking thousands of crystallization trials of the humanized 5E5 (h-5E5) Fab in the presence of either the singly or doubly glycosylated peptide antigens corresponding to Tn-MUC1, the Fab is only observed unliganded in the crystal. The conformations of the complementarity-determining regions (CDRs) of the combining site on the h-5E5 Fab do not differ significantly from those reported for liganded murine scFv at 3.0 Å resolution. While the affinity of the murine 5E5 has previously been reported as K D = 1.7 n M for the 24-mer Tn-MUC1 peptide PPAHGVT*SAPDTRPAPGS*T*APPAH prepared by in vitro glycosylation of a synthetic 24-mer MUC1 peptide, the K D of the h-5E5 Fab for the shorter doubly glycosylated glycopeptide antigens PAPGS*T*AP and APGS*T*AP was measured here as only 41 and 61 µ M , respectively. Interestingly, the single Fab molecule in the asymmetric unit of space group C 2 is observed packed head-to-head with a symmetry-related Fab across a crystallographic twofold axis such that a polypeptide loop from the light chain of each Fab is observed to insert into the antigen-binding pocket of the symmetry-related Fab. While this might suggest that binding of the Tn-MUC1 peptides may have been inhibited by a homophilic association, none was detected. The humanization process has imposed changes in the framework regions of the Fv which may have affected the Vh–Vl interface.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".