Predicted protein targets (top 14)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | KDM4E | B2RXH2 | 1/20 | 0.40 |
| ▸ | LMNA | P02545 | 1/20 | 0.40 |
| ▸ | CHRM2 | P08172 | 5/20 | 0.36 |
| ▸ | CHRM1 | P11229 | 3/20 | 0.36 |
| ▸ | CHRM4 | P08173 | 2/20 | 0.36 |
| ▸ | CHRM3 | P20309 | 2/20 | 0.36 |
| ▸ | MEN1 | O00255 | 1/20 | 0.35 |
| ▸ | CYP2D6 | P10635 | 1/20 | 0.35 |
| ▸ | KMT2A | Q03164 | 1/20 | 0.35 |
| ▸ | EPHX2 | P34913 | 3/20 | 0.34 |
| ▸ | ALDH1A1 | P00352 | 2/20 | 0.34 |
| ▸ | TSHR | P16473 | 1/20 | 0.32 |
| ▸ | GAA | P10253 | 1/20 | 0.32 |
| ▸ | TDP1 | Q9NUW8 | 1/20 | 0.32 |
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 | |
|---|---|---|---|---|
| SCHEMBL301572 | 1.00 | KDM4E (0.40) | KDM4ELMNACHRM2CHRM1CHRM4 | |
| SCHEMBL1299179 | 1.00 | KDM4E (0.40) | KDM4ELMNACHRM2CHRM1CHRM4 | |
| Ethylene SCHEMBL6270570 | 0.96 | KDM4E (0.38) | KDM4ELMNACHRM2CHRM1CHRM4 | |
| SCHEMBL14449006 | 0.83 | KDM4E (0.47) | KDM4ELMNAKMT2AEPHX2ALDH1A1 | |
| SCHEMBL4402348 | 0.83 | KDM4E (0.47) | KDM4ELMNAKMT2AEPHX2ALDH1A1 | |
| SCHEMBL852742 | 0.82 | KMT2A (0.36) | KDM4ELMNAKMT2AEPHX2ALDH1A1 | |
| SCHEMBL31695365 | 0.82 | KDM4E (0.36) | KDM4ELMNAEPHX2ALDH1A1 | |
| SCHEMBL5718788 | 0.82 | KDM4E (0.41) | KDM4ELMNAEPHX2ALDH1A1GAA | |
| SCHEMBL4967632 | 0.82 | KDM4E (0.41) | KDM4ELMNAKMT2AEPHX2ALDH1A1 | |
| SCHEMBL472764 | 0.82 | KDM4E (0.41) | KDM4ELMNAKMT2AEPHX2ALDH1A1 |
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 5 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-20260049185-A1 | METHOD FOR MAKING ETHER-FUNCTIONAL SILICONES | DOW SILICONES CORP (US) | 2026-02-19 | — | — | US | disclosed |
| EP-4590738-A1 | METHOD FOR MAKING ETHER-FUNCTIONAL SILICONES | DOW GLOBAL TECHNOLOGIES LLC (US) | 2025-07-30 | — | — | EP | disclosed |
| WO-2024081505-A1 | METHOD FOR MAKING ETHER-FUNCTIONAL SILICONES | DOW GLOBAL TECHNOLOGIES LLC (US) | 2024-04-18 | — | — | WO | disclosed |
| US-7550546-B2 | Norbornene-based polymers, films, polarizing plates and liquid crystal display devices | FUJIFILM CORPORATION (JP) | 2009-06-23 | — | — | US | disclosed |
| US-20080033133-A1 | NORBORNENE-BASED POLYMERS, FILMS, POLARIZING PLATES AND LIQUID CRYSTAL DISPLAY DEVICES | FUJIFILM CORPORATION (JP) | 2008-02-07 | — | — | 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 (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-20260049185-A1 | METHOD FOR MAKING ETHER-FUNCTIONAL SILICONES | SUGT1, SULT1A1, SULT1E1 | KDM4E 981/4885LMNA 594/4885CHRM2 1442/4885 |
“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.