Glycosaminoglycans Bind Factor Xa in a Ca<sup>2+</sup>-Dependent Fashion and Modulate Its Catalytic Activity
Bibliographic record
Abstract
Recent studies have demonstrated the existence of a Ca(2+)-dependent heparin-binding site on factor Xa. To characterize this heparin-binding site, the extrinsic fluorescence of fluorescein-labeled, active site-blocked factor Xa was monitored as it was titrated with glycosaminoglycans of various sulfate content and chain length. The binding of glycosaminoglycans to factor Xa appears to be charge-dependent because affinity is correlated with degree of glycosaminoglycan sulfation. All glycosaminoglycans bind factor Xa with higher affinity in the presence of Ca(2+) than in its absence. In contrast, when Gla-domainless factor Xa was substituted for factor Xa, glycosaminoglycans bound with similar affinities in the absence and presence of Ca(2+). These results support the hypothesis that the anionic Gla domain impairs glycosaminoglycan binding in the absence of Ca(2+). The changes in fluorescence intensity of factor Xa when titrated with glycosaminoglycans suggest that glycosaminoglycans induce conformational changes in the active site environment of factor Xa. To explore the consequences of these conformational changes, the effect of glycosaminoglycans on the catalytic activity of factor Xa was examined. Glycosaminoglycans influenced the ability of factor Xa to cleave chromogenic substrates and attenuated the capacity of factor Xa to activate factor VII. The potency of glycosaminoglycans in these assays reflected their affinity for factor Xa. These studies suggest that glycosaminoglycan binding perturbs exosites on the surface of factor Xa, potentially modifying interactions with cofactors or substrates.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| 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".