The appended tail region of heparin cofactor II and additional reactive centre loop mutations combine to increase the reactivity and specificity of α1-proteinase inhibitor M358R for thrombin
Bibliographic record
Abstract
Natural inhibitors of coagulation or inflammation such as the serpins antithrombin (AT), heparin cofactor II (HCII), and alpha(1)-proteinase inhibitor (alpha(1)-PI) can be overwhelmed in thrombosis and/or sepsis. The reactive centre (P1-P1') variant alpha(1)-PI M358R inhibits not only procoagulant thrombin but also anticoagulant activated protein C (APC). We previously described HAPI M358R, comprising a fusion of HCII residues 1-75 to the N-terminus of a(1)-PI M358R that yielded increased anti-thrombin, but not anti-APC activity. We hypothesized that further alterations to the HAPI M358R reactive centre loop would yield additional refinements in specificity. The reactions with thrombin or APC of recombinant alpha(1)-PI M358R variants with or without the HCII extension were characterized electrophoretically and kinetically. Their extension of clotting times and inhibition of fibrin-bound thrombin were measured, and the survival of HAPI M358R in mice was determined. Replacing the P7-P3 and P2' residues of HAPI M358R with AT residues reduced APC inhibition rates by 140-fold, but those of thrombin less than two-fold;substituting the P16-P2 and P2'-P3' residues of HAPI M358R with HCII residues reduced APC inhibition rates by 180-fold, but those of thrombin 10.5-fold. Fused variants extended thrombin clotting times more effectively than unfused inhibitors, were at least as effective at inhibiting clot-bound thrombin, and remained intact in the murine circulation. The combination of modifications inside and outside the RCL resulted in a 1,360-fold increase in selectivity of HAPI M358R (AT P7-P3/P2') for thrombin versus APC relative to alpha(1)-PI M358R. Our results predict that this protein may be effective in limiting thrombosis in vivo.
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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 | 0.001 |
| 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".