Hydroxyprogesterone Caproate

Hydroxyprogesterone Caproate

SCHEMBL17517045

CCCCCC(=O)OC1(C(C)=O)CCC2C3CCC4=CC(=O)CCC4(C)C3CCC21C

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

PGR

The experimentally established mechanism targets of Hydroxyprogesterone Caproate. The predicted profile below is derived independently by chemical similarity — agreement is a validation signal, a miss is honest.

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
PGR known ✓ P06401 4/20 1.00
LMNA P02545 6/20 1.00
NR3C1 P04150 5/20 1.00
SMN1; SMN2 Q16637 5/20 1.00
HIF1A Q16665 4/20 1.00
CYP3A4 P08684 4/20 1.00
KMT2A Q03164 3/20 1.00
MAPT P10636 3/20 1.00
MEN1 O00255 2/20 1.00
ADORA3 P0DMS8 2/20 1.00
SLC6A3 Q01959 2/20 1.00
NPSR1 Q6W5P4 2/20 1.00
HPGD P15428 1/20 1.00
MLNR O43193 1/20 1.00
NR1I2 O75469 1/20 1.00
HTT P42858 1/20 1.00
PDE4D Q08499 1/20 1.00
PDE3A Q14432 1/20 1.00
AR P10275 2/20 0.67
NR3C2 P08235 4/20 0.65

Click a target to see other patent compounds predicted against it — the reverse direction, in place.

Similar compounds — the chemically nearest patent molecules

Nearest neighbours by Morgan-fingerprint cosine across the patent-compound collection, with each neighbour's top predicted target and the predicted targets it shares with this molecule.

Compoundsimilaritytop predictedshared targets
Hydroxyprogesterone Caproate SCHEMBL5330 1.00 LMNA (1.00) LMNANR3C1SMN1; SMN2HIF1APGR
Hydroxyprogesterone Caproate SCHEMBL21497316 1.00 LMNA (1.00) LMNANR3C1SMN1; SMN2HIF1APGR
Hydroxyprogesterone Caproate SCHEMBL14649335 1.00 LMNA (1.00) LMNANR3C1SMN1; SMN2HIF1APGR
Hydroxyprogesterone Caproate SCHEMBL94788 1.00 LMNA (1.00) LMNANR3C1SMN1; SMN2HIF1APGR
Hydroxyprogesterone Caproate SCHEMBL508890 1.00 LMNA (1.00) LMNANR3C1SMN1; SMN2HIF1APGR
Hydroxyprogesterone Caproate SCHEMBL16812894 1.00 LMNA (1.00) LMNANR3C1SMN1; SMN2HIF1APGR
SCHEMBL5425550 0.99 LMNA (0.98) LMNANR3C1SMN1; SMN2HIF1APGR
SCHEMBL353516 0.99 LMNA (0.98) LMNANR3C1SMN1; SMN2HIF1APGR
SCHEMBL14656870 0.99 LMNA (0.98) LMNANR3C1SMN1; SMN2HIF1APGR
SCHEMBL17519899 0.98 LMNA (0.96) LMNANR3C1SMN1; SMN2HIF1APGR

Similarity is cosine over the 2,048-bit Morgan fingerprint (≈ Tanimoto). Identical fingerprints score 1.00.

Patent provenance — the patents this molecule appears in, and who filed them

Claimed or disclosed in 4 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3344258-B1 TREATING AUTO-IMMUNE AND AUTO-INFLAMMATORY DISEASES SHENZHEN EVERGREEN THERAPEUTICS CO LTD (CN) 2023-05-10 EP disclosed
US-20210361674-A1 Treating Auto-Immune and Auto-Inflammatory Diseases SHENZHEN EVERGREEN THERAPEUTICS CO., LTD. (CN) 2021-11-25 US disclosed
US-10987361-B2 Treating auto-immune and auto-inflammatory diseases SHENZHEN EVERGREEN THERAPEUTICS CO., LTD. (CN) 2021-04-27 US disclosed
US-20160045517-A1 Treating Auto-Immune and Auto-Inflammatory Diseases Prairie Pharmaceuticals LLC (US) 2016-02-18 US disclosed

Patent text — is the patent's own abstract consistent with the prediction?

For each of this compound's patents that has machine-readable text (3 of them — usually the abstract, not the full specification), we ask MedCPT which protein the text reads most about, and where the chemistry-predicted target lands among 4885 human targets. A high rank means the patent's own wording is consistent with the prediction — a weak, independent signal, not proof of activity.

PatentTitleText reads most aboutPredicted target · text-rank
US-20160045517-A1 Treating Auto-Immune and Auto-Inflammatory Diseases IL17A, IL23R, IL15 PGR 565/4885LMNA 4156/4885NR3C1 6/4885
US-10987361-B2 Treating auto-immune and auto-inflammatory diseases IL17A, IL23R, IL15 PGR 565/4885LMNA 4156/4885NR3C1 6/4885
US-20210361674-A1 Treating Auto-Immune and Auto-Inflammatory Diseases IL17A, IL23R, IL15 PGR 565/4885LMNA 4156/4885NR3C1 6/4885

“Text reads most about” is the patent abstract's nearest protein in MedCPT space (background-debiased). Only ~1.4% of patents have machine-readable text, so most compounds won't have this panel.