Predicted protein targets (top 20)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | MAPT | P10636 | 6/20 | 0.44 |
| ▸ | MEN1 | O00255 | 3/20 | 0.44 |
| ▸ | KMT2A | Q03164 | 3/20 | 0.44 |
| ▸ | GPER1 | Q99527 | 3/20 | 0.44 |
| ▸ | LMNA | P02545 | 1/20 | 0.44 |
| ▸ | POLB | P06746 | 1/20 | 0.44 |
| ▸ | HTT | P42858 | 1/20 | 0.44 |
| ▸ | L3MBTL1 | Q9Y468 | 3/20 | 0.42 |
| ▸ | GAA | P10253 | 2/20 | 0.42 |
| ▸ | KDM4E | B2RXH2 | 1/20 | 0.42 |
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.42 |
| ▸ | TDP1 | Q9NUW8 | 1/20 | 0.41 |
| ▸ | CA12 | O43570 | 1/20 | 0.40 |
| ▸ | CA1 | P00915 | 1/20 | 0.40 |
| ▸ | CA2 | P00918 | 1/20 | 0.40 |
| ▸ | CA9 | Q16790 | 1/20 | 0.40 |
| ▸ | CYP1A2 | P05177 | 1/20 | 0.40 |
| ▸ | CYP2C9 | P11712 | 1/20 | 0.40 |
| ▸ | CYP2C19 | P33261 | 1/20 | 0.40 |
| ▸ | TP53 | P04637 | 1/20 | 0.40 |
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 | |
|---|---|---|---|---|
| SCHEMBL916392 | 0.86 | MAPT (0.54) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL916447 | 0.82 | MAPT (0.43) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL916069 | 0.78 | AR (0.38) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL5331278 | 0.76 | BCL2L1 (0.38) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL916774 | 0.73 | MAPT (0.73) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL916165 | 0.72 | KMT2A (0.55) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL917264 | 0.72 | ESR1 (0.37) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL915341 | 0.71 | KMT2A (0.52) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL916037 | 0.71 | ESR1 (0.37) | MAPTMEN1KMT2AGPER1LMNA | |
| SCHEMBL915287 | 0.70 | KMT2A (0.52) | MAPTMEN1KMT2AGPER1LMNA |
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 3 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| 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 (1 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-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 | MAPT 1807/4885MEN1 1068/4885KMT2A 4138/4885 |
“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.