Blockade of Furin Activity and Furin-Induced Tumor Cells Malignant Phenotypes By The Chemically Synthesized Human Furin Prodomain
Bibliographic record
Abstract
Processing of cancer-associated precursor proteins such as growth factors by the Proprotein Convertase furin is an important cellular process for acquisition of malignant phenotype and metastatic potential of tumor cells. Furin is inhibited by its own prodomain protein which also plays role in the folding of mature furin. Herein, the complete 83-mer furin prodomain protein was chemically synthesized for the first time by solid phase peptide chemistry and its effects on furin activity and tumor cells malignant phenotypes were evaluated. It inhibited furin activity in a competitive manner with low nanomolar inhibition constant (Ki). Expression of furin prodomain cDNA in tumor cells or cells incubated with the corresponding protein blocked furin-cleavage of proPDGF-A. This was associated with significant reduction in tumor cells proliferation, migration as well as invasion. Interestingly shorter synthetic furin prodomain peptides derived from either its primary or secondary activation site alone weakly inhibited furin and displayed limited effects on tumor cells. This suggests that the combined presence of the above two prodomain segments is crucial for prodomain's potent furin-inhibitory and hence anticancer activities.
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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".