Characterization of the Distinct Collagen Binding, Helicase and Cleavage Mechanisms of Matrix Metalloproteinase 2 and 14 (Gelatinase A and MT1-MMP)
Bibliographic record
Abstract
Matrix metalloproteinase-2 (MMP-2, gelatinase A) and membrane type (MT)1-MMP (MMP-14) are cooperative dynamic components of a cell surface proteolytic axis involved in regulating the cellular signaling environment and pericellular collagen homeostasis. Although MT1-MMP exhibits type I collagenolytic but poor gelatinolytic activities, MMP-2 is a potent gelatinase with weak type I collagenolytic behavior. Recombinant linker/hemopexin C domain (LCD) of MT1-MMP binds native type I collagen, blocks MT1-MMP collagenolytic activity in trans, and by circular dichroism spectroscopy, induces localized structural perturbation in the collagen. These changes were reflected by enhanced cleavage of the MT1-LCD-bound collagen by the collagenases MMP-1 and MMP-8 but not by trypsin or MMP-7. Thus, the MT1-LCD alone can initiate triple helicase activity. In contrast, the native and denatured collagen binding properties of MMP-2 reside in the fibronectin type II modules, accordingly termed the collagen binding domain (CBD). Recombinant CBD (but not the MMP-2 LCD) also changed the circular dichroism spectra leading to increased MMP-1 and -8 cleavage of native collagen. However, recombinant CBD reduced gelatin and collagen cleavage by MMP-2 in trans as did CBD23, which comprises the second and third fibronectin type II modules, but not the CBD23 mutant W316A/W374A, which neither binds gelatin nor collagen. This indicates that MMP-2 and MT1-MMP bind collagen at a different site than MMP-1 and MMP-8. Thus, MMP-2 utilizes the CBD in cis for collagen binding and triple helicase activity, which compensates for the lack of collagen binding by the MMP-2 LCD. Hence, the MMP family has evolved two distinct mechanisms for collagen triple helicase activity using two structurally distinct domains, with triple helicase activity occurring independent of alpha-chain hydrolysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".