Elucidating the role of bovine heavy- and light-chain variable domains in polyspecific antigen-binding (P6104)
Bibliographic record
Abstract
Abstract The bovine antibody repertoire is generated from a limited germline sequence divergence as well as combinatorial diversity. Generation of an exceptionally long CDR3H (up to 61 amino acids) in the heavy chain variable region (VH) provides an additional mechanism to generate antibody diversity, not found in other species to date. These long CDR3H loops, present in polyspecific IgM, originate from VDJ recombination encoded by a specific VH gene, unusually long single DH-gene (capable of encoding up to 51 codons) and insertion of 15-18 base long conserved short nucleotide sequences (CSNS) specifically at VH-DH junction. In cattle, it is thought that antigen-binding is mainly a function of the variable-region of the heavy chain where light chain provides only structural support. To test this hypothesis, single chain variable fragment (scFv) and single domains (Fd) from polyspecific IgM were constructed. Both purified scFv as well as FdVH showed polyspecific binding to structurally dissimilar antigens in an ELISA. Whether scFv and FdVH bind to multiple epitopes on an antigen or if they recognize the same epitope can now be determined. The structural-functional complexities of these antibody fragments and the role of the heavy- and light-chains in antigen-binding will be discussed. [Supported by NSERC Canada]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".