Recognition and neutralization of bovine herpesvirus-1 by bovine antibody variable heavy- and light-chain domains (P4182)
Bibliographic record
Abstract
Abstract Mono- and multimeric single chain variable fragments (scFvs), expressed in Pichia pastoris, are capable of neutralizing Bovine Herpesvirus type-1 (BoHV-1) in vitro [Koti et al. 2011. Vaccine 29; Pasman et al., 2012. Clin Vaccine Immunol 19]. The cDNA encoding these scFvs originated from a mouse x cattle hybridoma that secreted bovine IgG1 capable of neutralizing BoHV-1. The molecular modelling of heavy (VH) and light (VL) chain domains predicted that the VL might only have a supportive role in antigen recognition. VH and VL were expressed as single domains (Fd), in P. pastoris with an objective to assess their role in viral recognition and neutralization. The ability to recognize and neutralize BoHV-1 of the monomeric scFv3-18L, VH and VL linked via 18 amino acid linker, was compared to the ability of the individual FdVH and FdVL domains, in an ELISA and in vitro plaque reduction assays. These experiments demonstrated that while FdVH, but not FdVL, recognized BoHV-1 in an ELISA, FdVH did not neutralize BoHV-1. The complexities associated with such antibody functions 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".