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BiohacksAI

Evidence-Based Biohacking

Patent Pending

SMAD3

MOLECULAR TARGET

SMAD family member 3

UniProt: P84022NCBI Gene: 408863 compounds

SMAD3 (SMAD family member 3) is targeted by 63 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 SMAD3

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

#CompoundConfidenceActive Assays
1Calcimycin1.614
2cycloheximide1.614
3alsterpaullone1.393
4Anisomycin1.393
5Azacitidine1.393
6Azacitidine1.393
7Disulfiram1.393
8kenpaullone1.393
9Nisoldipine1.393
10Tubercidin1.393
11Apigenin 5,7,4'-trihydroxy-flavone,1.102
12Kaempferols1.102
13Quercetin1.102
14cardamonin1.102
15Colchicine1.102
16Dactinomycin1.102
17Danazol1.102
18Dasatinib1.102
19Dinitrochlorobenzene1.102
20Ethidium1.102
21Flutamide1.102
22Loratadine1.102
23Oxyphenbutazone1.102
24Podophyllotoxin1.102
25vinblastine sulfate1.102
26Vincristine1.102
27chrysin0.691
28egcg0.691
29Fluoxetine0.691
30Methylene Blue0.691
31Tannins Polyphenolic compounds with molecular weights of around 500-3000 daltons and containing enough hydroxyl groups (1-2 per 100 MW) for effective cross linking of other compounds (ASTRINGENTS).0.691
32Astemizole Antihistamine drug now withdrawn from0.691
33Bortezomib0.691
34Celecoxib0.691
35Ciclopirox0.691
36Cladribine0.691
37Daunorubicin0.691
38Digitoxin0.691
39Digoxigenin 3 beta,12 beta,14-Trihydroxy-5 beta-card-20(22)-enolide.0.691
40Dithiazanine 3-Ethyl-2-(5-(3-ethyl-2-benzothiazolinylidene)-1,3- pentadienyl)benzothiazolium.0.691
41Domperidone0.691
42Emetine0.691
43Equilin0.691
44Ethinyl Estradiol0.691
45Ezetimibe0.691
46Fluspirilene0.691
47Hexachlorophene0.691
48Idazoxan0.691
49Lynestrenol0.691
50Nocodazole Nocodazole is0.691

Showing top 50 of 63 compounds. Use the BiohacksAI search to explore all SMAD3 modulators.

About SMAD3 as a Drug Target

SMAD3 (SMAD family member 3) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 63 compounds with documented SMAD3 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.

SMAD3 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.