Predicted protein targets (top 8)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | KDM4E | B2RXH2 | 1/20 | 0.33 |
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.33 |
| ▸ | GAA | P10253 | 1/20 | 0.33 |
| ▸ | HPGD | P15428 | 1/20 | 0.33 |
| ▸ | STAT3 | P40763 | 1/20 | 0.33 |
| ▸ | EGFR | P00533 | 1/20 | 0.32 |
| ▸ | PDGFRB | P09619 | 1/20 | 0.32 |
| ▸ | PDGFRA | P16234 | 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 | |
|---|---|---|---|---|
| SCHEMBL9979783 | 0.92 | EGFR (0.33) | KDM4EALDH1A1GAAHPGDSTAT3 | |
| SCHEMBL9979787 | 0.92 | KDM4E (0.32) | KDM4EALDH1A1GAAHPGDSTAT3 | |
| SCHEMBL9979789 | 0.90 | EGFR (0.36) | KDM4EEGFRPDGFRBPDGFRA | |
| SCHEMBL15581101 | 0.86 | TERT (0.39) | KDM4EALDH1A1GAAHPGDSTAT3 | |
| SCHEMBL15581099 | 0.82 | TERT (0.41) | KDM4EALDH1A1GAAHPGDSTAT3 | |
| SCHEMBL15581102 | 0.79 | HPGD (0.52) | KDM4EALDH1A1GAAHPGDSTAT3 | |
| SCHEMBL15581103 | 0.78 | TERT (0.41) | KDM4EALDH1A1HPGD | |
| SCHEMBL9979793 | 0.77 | NQO1 (0.36) | KDM4EALDH1A1GAA | |
| SCHEMBL9979788 | 0.76 | EGFR (0.34) | EGFRPDGFRBPDGFRA | |
| SCHEMBL8872919 | 0.74 | KDM4E (0.47) | KDM4EALDH1A1GAAHPGDSTAT3 |
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 4 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-9978474-B2 | Conductive open frameworks | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2018-05-22 | — | — | US | disclosed |
| US-20160247593-A1 | CONDUCTIVE OPEN FRAMEWORKS | UNITED STATES DEPARTMENT OF ENERGY | 2016-08-25 | — | — | US | disclosed |
| US-9269473-B2 | Conductive open frameworks | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2016-02-23 | — | — | US | disclosed |
| WO-2012082213-A2 | CONDUCTIVE OPEN FRAMEWORKS | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2012-06-21 | — | — | 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-20160247593-A1 | CONDUCTIVE OPEN FRAMEWORKS | GJB2, OR10J3, EPCAM | KDM4E 2184/4885ALDH1A1 2894/4885GAA 4306/4885 |
“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.