<i>In vitro</i>Inhibition of Human MMP-2 Collagenolytic and Gelatinolytic Activity by Neutralizing Monoclonal Antibodies
Bibliographic record
Abstract
Matrix metalloproteinases (MMPs) have been implicated in the degradation of the extracellular matrix in normal and pathological tissue remodelling. Among the MMPs, MMP-2 is the most commonly studied protease that has been involved in cancer, inflammation, infective diseases, degenerative diseases of the brain and vascular diseases. In this study, monoclonal antibodies (MAbs) were generated against human MMP-2, purified, characterized and tested for their ability to inhibit the enzymatic activity of MMP-2. Out of 12 positive clones generated against MMP-2, 2 clones (F2-1-11 and G8-25-5) were selected for further characterization. The selected clones react specifically with human pro and active form of MMP-2 in enzyme linked immunosorbant assay (ELISA), dot immunobinding assay (DIA) and Western blot and do not cross react with other human metalloproteinases or MMP-2 from other species. Additionally, these MAbs (F2-1-11 and G8-25-5) selectively inhibit collagenolytic and gelatinolytic activity of APMA ((p-aminophenylmercuric acetate)-activated-pro-MMP-2 and MMP-2, respectively.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.003 | 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".