Predicted protein targets (top 14)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | MAT2A | P31153 | 1/20 | 0.33 |
| ▸ | ELANE | P08246 | 3/20 | 0.33 |
| ▸ | AR | P10275 | 8/20 | 0.32 |
| ▸ | PTGES | O14684 | 1/20 | 0.31 |
| ▸ | GABRA1 | P14867 | 2/20 | 0.31 |
| ▸ | GABRG2 | P18507 | 2/20 | 0.31 |
| ▸ | GABRB3 | P28472 | 2/20 | 0.31 |
| ▸ | GABRA5 | P31644 | 2/20 | 0.31 |
| ▸ | GABRA3 | P34903 | 2/20 | 0.31 |
| ▸ | KIF11 | P52732 | 1/20 | 0.31 |
| ▸ | L3MBTL1 | Q9Y468 | 1/20 | 0.31 |
| ▸ | TSHR | P16473 | 1/20 | 0.31 |
| ▸ | SMN1; SMN2 | Q16637 | 1/20 | 0.31 |
| ▸ | TDO2 | P48775 | 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 | |
|---|---|---|---|---|
| SCHEMBL20848857 | 0.99 | MAT2A (0.33) | MAT2AELANEARPTGESGABRA1 | |
| SCHEMBL20848859 | 0.96 | KIF11 (0.32) | MAT2AELANEARPTGESGABRA1 | |
| SCHEMBL22985735 | 0.96 | ELANE (0.35) | MAT2AELANEARPTGESKIF11 | |
| SCHEMBL22985731 | 0.94 | AR (0.34) | ARPTGESGABRA1GABRG2GABRB3 | |
| SCHEMBL22985043 | 0.93 | AR (0.37) | MAT2AELANEARKIF11 | |
| SCHEMBL20848818 | 0.93 | ALOX5AP (0.35) | MAT2AELANEARGABRA1GABRG2 | |
| SCHEMBL22985734 | 0.92 | ELANE (0.33) | MAT2AELANEARKIF11 | |
| SCHEMBL20848880 | 0.92 | KIF11 (0.38) | MAT2AARKIF11 | |
| SCHEMBL22985640 | 0.92 | MAT2A (0.34) | MAT2AELANEARPTGESGABRA1 | |
| SCHEMBL20848867 | 0.92 | MAT2A (0.38) | MAT2AAR |
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 | MAT2A 2519/4885ELANE 4164/4885AR 3706/4885 |
| US-20190097141-A1 | ORGANIC MOLECULES FOR USE IN OPTOELECTRONIC DEVICES | OCIAD2, OCIAD1, POU2F1 | MAT2A 2519/4885ELANE 4164/4885AR 3706/4885 |
“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.