Role of the non‐hypervariable FR3 D‐E loop in single‐domain antibody recognition of haptens and carbohydrates
Bibliographic record
Abstract
Abstract Single‐domain antibodies (sdAbs), the variable domains of camelid heavy chain‐only antibodies, are generally thought to poorly recognize nonproteinaceous small molecules and carbohydrates in comparison with conventional antibodies. However, the structures of anti‐methotrexate, anti‐triclocarban and anti‐cortisol sdAbs revealed unexpected contributions of the non‐hypervariable “CDR4” loop, formed between β‐strands D and E of framework region 3, in binding. Here, we investigated the potential role of CDR4 in sdAb binding to a hapten, 15‐acetyl‐deoxynivalenol (15‐AcDON), and to carbohydrates. We constructed and panned a phage‐displayed library in which CDR4 of the 15‐AcDON‐specific sdAb, NAT‐267, was extended and randomized. From this library, we identified one sdAb, MA‐232, bearing a 14‐residue insertion in CDR4 and showing improved binding to 15‐AcDON by ELISA and surface plasmon resonance. On the basis of these results, we constructed a second set of phage‐displayed libraries in which the CDR4 and other regions of three hapten‐ or carbohydrate‐binding sdAbs were diversified. With the goal of identifying sdAbs with novel glycan‐binding specificities, we panned the library against four tumor‐associated carbohydrate antigens but were unable to enrich binding phages. Thus, we conclude that while CDR4 may play a role in binding of some rare hapten‐specific sdAbs, diversifying this region through molecular engineering is probably not a general solution to sdAb carbohydrate recognition in the absence of a paired VL domain.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".