The α2β1 integrin‐specific antagonist rhodocetin is a cruciform, heterotetrameric molecule
Bibliographic record
Abstract
The integrin alpha2beta1 plays an important role in various pathophysiological processes, such as thrombosis, wound healing, inflammation, and metastasis. Rhodocetin, a constituent of the venom of the hemorrhagic Malayan pit viper (Calloselasma rhodostoma), is a specific alpha2beta1 integrin antagonist. To understand its molecular mode of action, its structure was studied by crystallography. Its quaternary structure in solution was also analyzed biochemically. Two novel subunits of rhodocetin were sequenced by mass spectrometry. Their integrin binding was measured by protein interaction ELISAs. Rhodocetin is a C-type lectin-like protein (CLP) consisting of four homologous, yet distinct, subunits, alpha, beta, gamma, and delta, the latter two of which have been unknown to date. With their CLP folds and loop-swapping motifs, the subunits alpha, beta and gamma, delta form two heterodimeric pairs. Uniquely, they arrange orthogonally and shape a cruciform molecule. Bearing a single unpaired cysteine residue, rhodocetin can only form covalent supramolecular complexes with a maximum aggregation number of 2, unlike many heterodimeric CLPs. Being the first heterotetrameric CLP to be crystallized, rhodocetin provides not only the prototypic molecular structure for heterotetrameric CLPs, but also a lead structure for pharmaceutical alpha2beta1 integrin antagonists.
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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".