Bibliographic record
Abstract
The chemokines are a large family of small signaling proteins that bind to G-protein-coupled receptors (GPCRs) on target cells and mediate the directional migration of immune cells into sites of infection or inflammation. The large DNA viruses, particularly the poxviruses and herpesviruses, have evolved several mechanisms to corrupt the normal functioning of the chemokine network. Two strategies rely on mimicking chemokines or chemokine receptors. A third strategy involves the production of secreted chemokine-binding proteins (CKBPs) that exhibit no sequence similarity to any known host proteins, yet function to competitively bind and inhibit the interactions of chemokines with cognate receptors. Each strategy has provided unique insights into the elusively complex world of the chemokines. Here, we focus on recent advances made in the understanding of secreted CKBPs encoded by poxviruses and herpesviruses. A better understanding of how viral CKBPs function to manipulate the immune response may provide further clues as to how to develop specific therapeutic agents to abrogate chemokine-mediated disease conditions.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".