Use of Coiled-Coil Affinity Peptides to Manufacture Antibody Conjugates
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Antibody-drug conjugates are revolutionizing cancer treatment. However, their manufacturing still requires improvements in conjugation technology, especially for the control of the drug-to-antibody ratio (DAR). Here, we investigate the use of the de novo designed coiled-coil heterodimer, composed of the Ecoil and Kcoil peptides, as a new strategy for generating antibody conjugates with high homogeneity and a controllable DAR. More precisely, we investigated the assembly, stability, and tumor targeting of two conjugated antibodies made of (1) trastuzumab with C-terminal Ecoils (TZM-Ecoil) noncovalently paired with Kcoil peptides fused to the monomeric red fluorescent protein (Kcoil-mRFP), yielding TZM-E/K-mRFP or (2) TZM-Ecoil noncovalently paired to Kcoil peptide covalently linked to the fluorescent dye CF750 (Kcoil-CF750), yielding TZM-E/K-CF750. Results from the in vitro stability assessment of these complexes in blood serum revealed that their integrity was maintained. Furthermore, in vivo biodistribution and tumor localization data using a HER2-expressing SKOV3 xenograft mouse model indicated efficient tumor targeting and retention for up to 10 days postinjection of the TZM-E/K-CF750 conjugate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".