Structure/function of human herpesvirus‐8 MIP‐II (1–71) and the antagonist N‐terminal segment (1–10)
Bibliographic record
Abstract
Kaposi's sarcoma-associated herpesvirus encodes a chemokine called vMIP-II that has been shown to be a broad range human chemokine receptor antagonist. Two N-terminal peptides, vMIP-II(1-10) and vMIP-II(1-11)dimer (dimerised through Cys11) were synthesised. Both peptides are shown to bind the CXC chemokine receptor 4 (CXCR4). vMIP-II(1-10) was 1400-fold less potent than the native protein whilst the vMIP-II(1-11)dimer was only 180-fold less potent. In addition, both peptides are CXCR4 antagonists. Through analysis of non-standard, long mixing time two-dimensional nuclear Overhauser enhancement spectroscopy experiments, 13C relaxation data and amide chemical shift temperature gradients for the N-terminus of vMIP-II, we show that this region populates a turn-like structure over residues 5-8, both in the presence and absence of the full protein scaffold. This major conformation is likely to be in fast exchange with other conformational states but it has not previously been detected in monomeric chemokine structures. This and other studies [Elisseeva et al. (2000) J. Biol. Chem. 275, 26799-26805] suggest that there may be a link between the structuring of the short N-terminal chemokine peptides and their ability to bind their receptor.
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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".