HIV blocking antibodies following immunisation with chimaeric peptides coding a short N-terminal sequence of the CCR5 receptor
Bibliographic record
Abstract
The chemokine receptor CCR5 is required for cellular entry by many strains of HIV, and provides a potential target for molecules, including antibodies, designed to block HIV transmission. This study investigates a novel approach to stimulate antibodies to CCR5. Rabbits were immunised with chimaeric peptides which encode a short fragment of the N-terminal sequence of CCR5, as well as an unrelated T cell epitope from Tetanus toxoid. Immunisation with these chimaeric peptides generates a strong antibody response which is highly focused on the N-terminal CCR5 sequence. The antibody to the chimaeric peptide containing an N-terminal methionine also recognises the full length CCR5 receptor on the cell surface, albeit at higher concentrations. Further comparison of binding to intact CCR5 with binding to CCR5 peptide suggest that the receptor specific antibody generated represents a very small fragment of the total anti-peptide antibody. These findings are consistent with the hypothesis that the N-terminal peptide in the context of the intact receptor has a different structure to that of the synthetic peptide. Finally, the antibody was able to block HIV infection of macrophages in vitro. Thus results of this study suggest that N-terminal fragments of CCR5 may provide potential immunogens with which to generate blocking antibodies to this receptor, while avoiding the dangers of including T cell auto-epitopes.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".