Predicted protein targets (top 15)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | PDK2 | Q15119 | 2/20 | 0.39 |
| ▸ | PTPN5 | P54829 | 1/20 | 0.38 |
| ▸ | PRF1 | P14222 | 2/20 | 0.35 |
| ▸ | ENPP1 | P22413 | 1/20 | 0.35 |
| ▸ | KIF11 | P52732 | 2/20 | 0.33 |
| ▸ | CHEK1 | O14757 | 1/20 | 0.33 |
| ▸ | PDPK1 | O15530 | 1/20 | 0.33 |
| ▸ | PGR | P06401 | 1/20 | 0.33 |
| ▸ | SYK | P43405 | 1/20 | 0.32 |
| ▸ | ADRA2C | P18825 | 1/20 | 0.31 |
| ▸ | PRKDC | P78527 | 1/20 | 0.31 |
| ▸ | ALDH1A3 | P47895 | 1/20 | 0.31 |
| ▸ | GRIN1 | Q05586 | 1/20 | 0.31 |
| ▸ | GRIN2B | Q13224 | 1/20 | 0.31 |
| ▸ | PTGDR2 | Q9Y5Y4 | 1/20 | 0.31 |
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 | |
|---|---|---|---|---|
| SCHEMBL21547103 | 0.97 | PDK2 (0.39) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL22761213 | 0.97 | PDK2 (0.40) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL22761149 | 0.96 | PDK2 (0.39) | PDK2PTPN5PRF1ENPP1KIF11 | |
| SCHEMBL22761241 | 0.95 | PDK2 (0.39) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL22761153 | 0.94 | PDK2 (0.39) | PDK2PTPN5PRF1ENPP1KIF11 | |
| SCHEMBL21546522 | 0.94 | PDK2 (0.41) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL21546524 | 0.94 | ENPP1 (0.37) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL22760785 | 0.94 | PDK2 (0.37) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL22761212 | 0.93 | PDK2 (0.41) | PDK2PTPN5PRF1ENPP1CHEK1 | |
| SCHEMBL22761150 | 0.93 | PDK2 (0.35) | PDK2PTPN5PRF1ENPP1CHEK1 |
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 2 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-10981930-B2 | Organic molecules for use in optoelectronic devices | CYNORA GMBH (DE) | 2021-04-20 | — | — | US | disclosed |
| US-20200385399-A1 | ORGANIC MOLECULES FOR USE IN OPTOELECTRONIC DEVICES | SAMSUNG DISPLAY CO., LTD. (KR) | 2020-12-10 | — | — | 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 (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-10981930-B2 | Organic molecules for use in optoelectronic devices | OR10J3, OR51E2, EPCAM | PDK2 2517/4885PTPN5 4550/4885PRF1 4364/4885 |
| US-20200385399-A1 | ORGANIC MOLECULES FOR USE IN OPTOELECTRONIC DEVICES | OR10J3, OR51E2, EPCAM | PDK2 2517/4885PTPN5 4550/4885PRF1 4364/4885 |
“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.