Predicted protein targets (top 12)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | PDK2 | Q15119 | 7/20 | 0.49 |
| ▸ | CYP1A2 | P05177 | 1/20 | 0.44 |
| ▸ | ELANE | P08246 | 1/20 | 0.37 |
| ▸ | CNR1 | P21554 | 3/20 | 0.37 |
| ▸ | SUCNR1 | Q9BXA5 | 1/20 | 0.36 |
| ▸ | TDP2 | O95551 | 2/20 | 0.36 |
| ▸ | MAP4K4 | O95819 | 1/20 | 0.36 |
| ▸ | PTGER1 | P34995 | 1/20 | 0.36 |
| ▸ | PTGER4 | P35408 | 1/20 | 0.36 |
| ▸ | PTGER3 | P43115 | 1/20 | 0.36 |
| ▸ | PTGER2 | P43116 | 1/20 | 0.36 |
| ▸ | PGR | P06401 | 1/20 | 0.35 |
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 | |
|---|---|---|---|---|
| SCHEMBL30484155 | 0.90 | PDK2 (0.46) | PDK2CYP1A2SUCNR1MAP4K4 | |
| SCHEMBL23931062 | 0.90 | PDK2 (0.46) | PDK2CYP1A2SUCNR1MAP4K4 | |
| SCHEMBL30484149 | 0.88 | PDK2 (0.44) | PDK2CYP1A2SUCNR1 | |
| SCHEMBL19283454 | 0.88 | PDK2 (0.44) | PDK2CYP1A2SUCNR1 | |
| SCHEMBL23989133 | 0.87 | PDK2 (0.54) | PDK2TDP2PGR | |
| SCHEMBL19299487 | 0.85 | PDK2 (0.50) | PDK2TDP2PGR | |
| SCHEMBL25125318 | 0.84 | PDK2 (0.47) | PDK2CYP1A2ELANECNR1TDP2 | |
| SCHEMBL30708983 | 0.84 | PDK2 (0.47) | PDK2CYP1A2ELANECNR1TDP2 | |
| SCHEMBL19299490 | 0.84 | PDK2 (0.41) | PDK2CYP1A2TDP2PTGER1PTGER4 | |
| SCHEMBL23989253 | 0.82 | PDK2 (0.49) | PDK2TDP2PGR |
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-20230373941-A1 | COMPOUNDS FOR ELECTRONIC DEVICES | MERCK PATENT GMBH (DE) | 2023-11-23 | — | — | US | disclosed |
| US-20230373941-A1 | COMPOUNDS FOR ELECTRONIC DEVICES | MERCK PATENT GMBH (DE) | 2023-11-23 | — | — | US | disclosed |
| WO-2021214348-A2 | COMPOUNDS FOR ELECTRONIC DEVICES | MERCK PATENT GMBH (DE) | 2021-10-28 | — | — | 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-20230373941-A1 | COMPOUNDS FOR ELECTRONIC DEVICES | CYP2E1, GPX1, ERCC1 | PDK2 461/4885CYP1A2 46/4885ELANE 137/4885 |
“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.