Enhanced proliferative effects of a baculovirus-produced fusion protein of insulin-like growth factor and α1-proteinase inhibitor and improved anti-elastase activity of the inhibitor with glutamate at position 351
Bibliographic record
Abstract
Alpha(1)-proteinase inhibitor (API) was coupled at the C-terminus of a human insulin-like growth factor (IGF) analog to facilitate its production in insect cells. This fusion protein significantly increased thymidine incorporation into HL-60 cells as compared with the incorporation observed with an equivalent molar mixture of the IGF analog and API. The M351E variant of API has been previously shown to reduce aggregate formation in prokaryotic expression systems. When the oxidation-sensitive methionine 351 of the inhibitor was changed to glutamate, the M351E variant was secreted in larger amounts from insect cells than the corresponding fusion protein with wild-type API. The M351E fusion protein and the corresponding chimera containing the wild-type API were tested for their capacity to inhibit human neutrophil elastase. The M351E variant was a more potent elastase inhibitor than the fusion protein containing the wild-type analog, whereas the proliferative activity of both chimeras was identical. The described mitogenic effect of the chimera and the improved anti-elastase activity of the M351E variant are two ideal properties for therapeutic agents acting in pathological situations where cell proliferation and inhibition of neutrophil elastase have to take place simultaneously, such as during wound healing.
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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".