The Transferable Tail: Fusion of the N-Terminal Acidic Extension of Heparin Cofactor II to α<sub>1</sub>-Proteinase Inhibitor M358R Specifically Increases the Rate of Thrombin Inhibition
Bibliographic record
Abstract
The conversion of the reactive center bond of the serpin alpha1-proteinase inhibitor (alpha1-PI, also known as alpha1-antitrypsin) from Met-Ser to Arg-Ser decreases the rate at which it inhibits neutrophil elastase and endows it with the ability to inhibit thrombin and activated protein C (APC). Another serpin, heparin cofactor II (HCII), contains a unique N-terminal extension that binds thrombin exosite 1. We fused residues 1-75 of HCII to the N-terminus of alpha1-PI M358R, forming an HCII-alpha1-PI chimera (HAPI M358R). It inhibited alpha-thrombin 21-fold faster than alpha1-PI M358R, with second-order rate constants of 2.3 x 10(8) M(-1) min(-1) versus 1.1 x 10(7) M(-1) min(-1), respectively. When gammaT-thrombin, which lacks an intact exosite 1, was substituted for alpha-thrombin, the kinetic advantage of HAPI M358R over alpha1-PI M358R was reduced to 9-fold, whereas APC and trypsin, proteases lacking exosite 1-like regions, were inhibited only 1.3- and 2-fold more rapidly by HAPI M358R than by alpha1-PI M358R, respectively. Maximal enhancement of alpha1-PI M358R activity required the acidic residues found between HCII residues 55 and 75, because no enhancement was observed either by fusion of residues 1-54 alone or by fusion of a mutated HCII acidic extension in which all Glu and Asp residues between positions 55 and 75 were neutralized by mutation. Fusing residues 55-75 to alpha1-PI M358R yielded a relative rate enhancement of only 6-fold, suggesting a need for the full tail region to achieve maximal enhancement. Our results suggest that transfer of the N-terminal acidic extension of HCII to alpha1-PI M358R enhanced its inhibition of thrombin by conferring the ability to bind exosite 1 on HAPI M358R. This enhancement may aid in efforts to tailor this inhibitor for therapeutic use.
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 | 0.000 |
| 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".