Predicted protein targets (top 18)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | LMNA | P02545 | 2/20 | 0.49 |
| ▸ | HPGD | P15428 | 1/20 | 0.49 |
| ▸ | ALDH1A1 | P00352 | 3/20 | 0.39 |
| ▸ | TDP1 | Q9NUW8 | 2/20 | 0.39 |
| ▸ | HSD17B10 | Q99714 | 1/20 | 0.39 |
| ▸ | MAPT | P10636 | 2/20 | 0.38 |
| ▸ | MITF | O75030 | 1/20 | 0.35 |
| ▸ | HSP90AA1 | P07900 | 1/20 | 0.35 |
| ▸ | MAPK1 | P28482 | 1/20 | 0.35 |
| ▸ | HTT | P42858 | 1/20 | 0.35 |
| ▸ | ERN1 | O75460 | 1/20 | 0.35 |
| ▸ | KMT2A | Q03164 | 1/20 | 0.34 |
| ▸ | L3MBTL1 | Q9Y468 | 1/20 | 0.34 |
| ▸ | PKM | P14618 | 1/20 | 0.31 |
| ▸ | CYP3A4 | P08684 | 1/20 | 0.30 |
| ▸ | ATM | Q13315 | 1/20 | 0.30 |
| ▸ | NPC1 | O15118 | 1/20 | 0.30 |
| ▸ | RAB9A | P51151 | 1/20 | 0.30 |
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.
| Compound | similarity | top predicted | shared targets | |
|---|---|---|---|---|
| SCHEMBL30657003 | 1.00 | LMNA (0.49) | LMNAHPGDALDH1A1TDP1HSD17B10 | |
| SCHEMBL29198713 | 0.77 | LMNA (0.69) | LMNAHPGDALDH1A1TDP1HSD17B10 | |
| SCHEMBL30657001 | 0.77 | LMNA (0.69) | LMNAHPGDALDH1A1TDP1HSD17B10 | |
| SCHEMBL20455582 | 0.76 | ERN1 (0.32) | ERN1 | |
| SCHEMBL584339 | 0.76 | HPGD (0.50) | LMNAHPGDALDH1A1TDP1HSD17B10 | |
| SCHEMBL22686756 | 0.76 | LMNA (0.50) | LMNAHPGDALDH1A1TDP1HSD17B10 | |
| SCHEMBL21593782 | 0.75 | LMNA (0.43) | LMNAHPGDALDH1A1TDP1HSD17B10 | |
| SCHEMBL29198710 | 0.75 | LMNA (0.61) | LMNAHPGDALDH1A1TDP1MAPT | |
| SCHEMBL30657004 | 0.75 | LMNA (0.61) | LMNAHPGDALDH1A1TDP1MAPT | |
| SCHEMBL14070022 | 0.74 | LMNA (0.64) | LMNAHPGDALDH1A1TDP1HSD17B10 |
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 7 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-117069732-B | Preparation method of benzo [ c ] phenanthridine natural product and derivative thereof | 沈阳药科大学 | 2024-04-26 | — | — | CN | disclosed |
| CN-117069732-A | Preparation method of benzo [ c ] phenanthridine natural product and derivative thereof | 沈阳药科大学 | 2023-11-17 | — | — | CN | disclosed |
| US-8487100-B2 | Compounds for binding to ER alpha/beta and GPR30, methods of treating disease states and conditions mediated through these receptors and identification thereof | STC.UNM (US) | 2013-07-16 | — | — | US | disclosed |
| US-20110092533-A1 | COMPOUNDS FOR BINDING TO ER ALPHA/BETA AND GPR30, METHODS OF TREATING DISEASE STATES AND CONDITIONS MEDIATED THROUGH THESE RECEPTORS AND IDENTIFICATION THEREOF | STC. UNM (US) | 2011-04-21 | — | — | US | disclosed |
| US-7875721-B2 | Modulators of estrogen receptor alpha/beta G protein-coupled receptor 30, e.g., 1-(4-(6-Bromo-benzo[1,3]dioxol-5-yl)-3a,4,5,9b-tetrahydro-3H-cyclopenta[c]quinolin-8-yl)1-ethanone; treating diseases such as cancer, neurodegenerative disorders, obesity, osteoporosis, and symptoms of menopause | STC.UNM (US) | 2011-01-25 | — | — | US | disclosed |
| US-20080167334-A1 | Compounds for binding to ERalpha/beta and GPR30, methods of treating disease states and conditions mediated through these receptors and identification thereof | ARROWHEAD CENTER, INC. | 2008-07-10 | — | — | US | disclosed |
| WO-2007019180-A2 | COMPOUNDS FOR BINDING TO ERALPHA/BETA AND GPR30, METHODS OF TREATING DISEASE STATES AND CONDITIONS MEDIATED THROUGH THESE RECEPTORS AND IDENTIFICATION THEREOF | SCIENCE & TECHNOLOGY CORPORATION @ UNM (US) | 2007-02-15 | — | — | WO | 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 (2 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.
| Patent | Title | Text reads most about | Predicted target · text-rank |
|---|---|---|---|
| US-20110092533-A1 | COMPOUNDS FOR BINDING TO ER ALPHA/BETA AND GPR30, METHODS OF TREATING DISEASE STATES AND CONDITIONS MEDIATED THROUGH THESE RECEPTORS AND IDENTIFICATION THEREOF | GPER1, ESR2, ESRRG | LMNA 2955/4885HPGD 2326/4885ALDH1A1 2014/4885 |
| US-20080167334-A1 | Compounds for binding to ERalpha/beta and GPR30, methods of treating disease states and conditions mediated through these receptors and identification thereof | GPER1, ESR2, ESRRG | LMNA 3134/4885HPGD 2414/4885ALDH1A1 1647/4885 |
“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.