Predicted protein targets (top 15)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | PDK2 | Q15119 | 1/20 | 0.38 |
| ▸ | PTPN5 | P54829 | 1/20 | 0.38 |
| ▸ | ACP1 | P24666 | 1/20 | 0.36 |
| ▸ | KIF11 | P52732 | 1/20 | 0.35 |
| ▸ | ENPP1 | P22413 | 1/20 | 0.35 |
| ▸ | AR | P10275 | 4/20 | 0.34 |
| ▸ | SLC22A12 | Q96S37 | 1/20 | 0.34 |
| ▸ | MAT2A | P31153 | 1/20 | 0.34 |
| ▸ | MAP4K4 | O95819 | 1/20 | 0.33 |
| ▸ | PTGER4 | P35408 | 1/20 | 0.33 |
| ▸ | PRF1 | P14222 | 1/20 | 0.33 |
| ▸ | CHEK1 | O14757 | 1/20 | 0.33 |
| ▸ | SSTR2 | P30874 | 1/20 | 0.33 |
| ▸ | ALDH1A3 | P47895 | 1/20 | 0.32 |
| ▸ | SYK | P43405 | 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 | |
|---|---|---|---|---|
| SCHEMBL20849639 | 0.96 | KIF11 (0.38) | PDK2PTPN5ACP1KIF11AR | |
| SCHEMBL20849453 | 0.95 | PDK2 (0.39) | PDK2PTPN5ACP1KIF11ENPP1 | |
| SCHEMBL20849633 | 0.95 | PDK2 (0.39) | PDK2PTPN5ACP1KIF11ENPP1 | |
| SCHEMBL20849446 | 0.95 | KIF11 (0.34) | PDK2PTPN5ACP1KIF11ENPP1 | |
| SCHEMBL20849261 | 0.95 | KIF11 (0.41) | PDK2PTPN5ACP1KIF11AR | |
| SCHEMBL21399799 | 0.94 | PDK2 (0.37) | PDK2PTPN5ACP1KIF11ENPP1 | |
| SCHEMBL20848561 | 0.94 | AR (0.36) | PDK2ACP1KIF11ARSLC22A12 | |
| SCHEMBL20849638 | 0.93 | KIF11 (0.40) | PDK2PTPN5ACP1KIF11AR | |
| SCHEMBL20849642 | 0.92 | AR (0.44) | PDK2PTPN5ACP1KIF11ENPP1 | |
| SCHEMBL20849194 | 0.91 | KIF11 (0.36) | PDK2PTPN5ACP1KIF11AR |
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-10978646-B2 | Organic molecules for use in optoelectronic devices | CYNORA GMBH (DE) | 2021-04-13 | — | — | US | disclosed |
| US-20190097141-A1 | ORGANIC MOLECULES FOR USE IN OPTOELECTRONIC DEVICES | SAMSUNG DISPLAY CO., LTD. (KR) | 2019-03-28 | — | — | 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-10978646-B2 | Organic molecules for use in optoelectronic devices | OCIAD2, OCIAD1, POU2F1 | PDK2 1574/4885PTPN5 4494/4885ACP1 2186/4885 |
| US-20190097141-A1 | ORGANIC MOLECULES FOR USE IN OPTOELECTRONIC DEVICES | OCIAD2, OCIAD1, POU2F1 | PDK2 1574/4885PTPN5 4494/4885ACP1 2186/4885 |
“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.