Amino Acid Residues in the P6-P′3 Region of Thrombin-activable Fibrinolysis Inhibitor (TAFI) Do Not Determine the Thrombomodulin Dependence of TAFI Activation
Bibliographic record
Abstract
Thrombin bound to thrombomodulin activates thrombin-activable fibrinolysis inhibitor (TAFI) and protein C much more efficiently than thrombin alone. Although thrombomodulin has been proposed to alter the thrombin active site, the recently determined structure of the thrombin-thrombomodulin complex does not support this proposal. In this study, the contribution of amino acids near the activation site of TAFI toward thrombomodulin dependence was determined, utilizing four variants of TAFI with specific substitutions in the P6-P'3 region surrounding the Arg-92 cleavage site. Two point mutants had either the Ser-90 or Asp-87 of TAFI replaced with Ala, a third mutant had the thrombin activation site of the fibrinogen Bbeta-chain substituted into positions 91-95 of TAFI, and a fourth mutant had the thrombin activation site of protein C substituted into positions 90-95 of TAFI. Each of these mutants was expressed, purified, and characterized with respect to activation kinetics and functional properties of the enzyme. Even though fibrinogen is poorly cleaved by thrombin-thrombomodulin, the fibrinogen activation site does not significantly alter the thrombomodulin dependence of TAFI activation. The TAFI variant with the protein C activation sequence is only slowly activated by thrombin-thrombomodulin, and not at all by free thrombin. Mutating Asp-87 to Ala increases the catalytic efficiency of activation 3-fold both in the presence and absence of thrombomodulin, whereas mutating Ser-90 to Ala effects only minor kinetic differences compared with wild type TAFI. The thermal stabilities and antifibrinolytic properties of the enzymes were not substantially altered by any of the mutations that allowed for efficient activation of the enzyme. We conclude that residues in the P6-P'3 region of TAFI do not determine the thrombomodulin dependence of activation, which lends support to the argument that the role of thrombomodulin is to optimally orient thrombin and its substrate, rather than to allosterically alter the specificity of the thrombin active site.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".