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BiohacksAI
Evidence-Based Biohacking
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MMP2

MOLECULAR TARGET

72 kDa type IV collagenase

24 compounds

MMP2 (72 kDa type IV collagenase) is targeted by 24 compounds in the BiohacksAI evidence corpus, derived from PubMed bioassay data. Each compound is ranked by confidence score (log-normalized assay count × evidence quality).

Compounds Targeting MMP2

Ranked by bioassay confidence score (PubChem active assay count × evidence quality).

#CompoundConfidenceActive Assays
1epigalocatechin gallate5.40220
2ubenimex4.5796
3isoliquiritigenin4.5089
4 taxifolin4.1764
5oxyquinoline3.8546
6amentoflavone3.7642
7cgs 27023a3.7642
8marimastat3.4731
9ilomastat3.4029
10actinonin3.1823
11pyrogallol3.1422
12oxyresveratrol3.0420
13prinomastat2.9418
14gingkolic acid2.7114
15cts 10272.6413
16batimastat2.4811
17robustaflavone2.4811
18artepillin2.208
19tiludronic acid2.087
203 nitrophenylaminomethylenediphosphonic acid2.087
21ro 3197901.795
22ageladine a1.795
23bdb 2 adamantyloxy 4 methoxyphenyl sulfonyl amino n hydroxyacetamide chembl2275670.691
24bdb chembl17387480.691

About MMP2 as a Drug Target

MMP2 (72 kDa type IV collagenase) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 24 compounds with documented MMP2 interaction from PubChem bioassay data, cross-referenced with PubMed clinical evidence. The confidence score reflects the log-normalized count of active PubChem assays, weighted by evidence quality from the BiohacksAI corpus.

MMP2 inhibitors, activators, and modulators are of interest in research areas including longevity, metabolic health, and neurological function. Each compound profile includes evidence score, RCT count, human study ratio, research velocity, and domain relevance.