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BiohacksAI

Evidence-Based Biohacking

Patent Pending

RARG

MOLECULAR TARGET

retinoic acid receptor gamma

UniProt: P13631NCBI Gene: 591618 compounds

RARG (retinoic acid receptor gamma) is targeted by 18 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 RARG

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

#CompoundConfidenceActive Assays
1tretinoin5.16174
2alitretinoin4.0355
3bexarotene4.0355
4o demethylated adapalene2.7715
5rosiglitazone maleate2.087
6tazarotene1.795
7Adapalene1.614
8Progesterone0.691
9Calcitriol0.691
10Gemfibrozil0.691
11bdb 4 e 2 3 adamantan 1 yl 4 hydroxy phenyl propenyl benzoic acid chembl4217730.691
12bdb 4 e 2 3 adamantan 1 yl 4 hydroxy phenyl vinyl benzoic acid chembl1466460.691
13bdb 4 e 2 3 adamantan 1 yl 4 methoxy phenyl propenyl benzoic acid chembl1464490.691
14bdb 6 3 adamantan 1 yl 4 1 2 dihydroxy ethyl phenyl naphthalene 2 carboxylic acid ch0.691
15bdb 6 3 adamantan 1 yl 4 2 3 dihydroxy propoxy phenyl naphthalene 2 carboxylic acid 0.691
16bdb 6 3 adamantan 1 yl 4 2 3 dihydroxy propyl phenyl naphthalene 2 carboxylic acid c0.691
17bdb 6 3 adamantan 1 yl 4 3 hydroxy propyl phenyl naphthalene 2 carboxylic acid chemb0.691
18bdb 6 3 adamantan 1 yl 4 hydroxymethyl phenyl naphthalene 2 carboxylic acid chembl420.691

About RARG as a Drug Target

RARG (retinoic acid receptor gamma) is a well-characterized molecular target in biomedical research. BiohacksAI tracks 18 compounds with documented RARG 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.

RARG 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.