Predicted protein targets (top 5)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | PKM | P14618 | 16/20 | 0.62 |
| ▸ | PKLR | P30613 | 2/20 | 0.56 |
| ▸ | L3MBTL1 | Q9Y468 | 2/20 | 0.56 |
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.52 |
| ▸ | RORC | P51449 | 1/20 | 0.52 |
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 | |
|---|---|---|---|---|
| SCHEMBL21072988 | 0.93 | RORC (0.52) | PKMPKLRRORC | |
| SCHEMBL21072963 | 0.86 | BRD4 (0.57) | RORC | |
| SCHEMBL19165728 | 0.85 | PKM (0.67) | PKMPKLRL3MBTL1ALDH1A1 | |
| SCHEMBL21073154 | 0.84 | RORC (0.51) | PKMRORC | |
| SCHEMBL21073145 | 0.83 | PKM (0.55) | PKMRORC | |
| SCHEMBL21072961 | 0.81 | RORC (0.50) | PKMALDH1A1RORC | |
| SCHEMBL21073158 | 0.80 | RORC (0.63) | RORC | |
| SCHEMBL21073134 | 0.80 | RORC (0.52) | RORC | |
| SCHEMBL21072953 | 0.78 | NR1H3 (0.70) | RORC | |
| SCHEMBL2593870 | 0.78 | PKM (1.00) | PKMPKLRL3MBTL1ALDH1A1 |
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-20210161837-A1 | METHODS FOR TREATING CANCER WITH RORGAMMA INHIBITORS | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2021-06-03 | — | — | US | disclosed |
| US-20210161837-A1 | METHODS FOR TREATING CANCER WITH RORGAMMA INHIBITORS | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2021-06-03 | — | — | US | disclosed |
| US-20190192454-A1 | METHODS FOR TREATING CANCER WITH RORGAMMA INHIBITORS | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2019-06-27 | — | — | US | disclosed |
| US-20190192454-A1 | METHODS FOR TREATING CANCER WITH RORGAMMA INHIBITORS | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) | 2019-06-27 | — | — | 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-20190192454-A1 | METHODS FOR TREATING CANCER WITH RORGAMMA INHIBITORS | RORA, RORB, RORC | PKM 3347/4885PKLR 3016/4885L3MBTL1 3338/4885 |
| US-20210161837-A1 | METHODS FOR TREATING CANCER WITH RORGAMMA INHIBITORS | RORA, RORB, RORC | PKM 3347/4885PKLR 3016/4885L3MBTL1 3338/4885 |
“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.