Predicted protein targets (top 4)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | IRAK4 | Q9NWZ3 | 18/20 | 0.35 |
| ▸ | IRAK1 | P51617 | 1/20 | 0.33 |
| ▸ | MGLL | Q99685 | 1/20 | 0.32 |
| ▸ | KCNH2 | Q12809 | 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 | |
|---|---|---|---|---|
| SCHEMBL18009250 | 0.88 | HCAR2 (0.38) | IRAK4IRAK1MGLL | |
| SCHEMBL18009233 | 0.88 | HCAR2 (0.38) | IRAK4IRAK1MGLL | |
| SCHEMBL18009241 | 0.88 | HCAR2 (0.38) | IRAK4IRAK1MGLL | |
| SCHEMBL18009354 | 0.81 | MGLL (0.39) | IRAK4IRAK1MGLL | |
| SCHEMBL18202760 | 0.80 | IRAK4 (0.35) | IRAK4KCNH2 | |
| SCHEMBL18199445 | 0.80 | KEAP1 (0.31) | — | |
| SCHEMBL18014862 | 0.78 | HCAR2 (0.42) | IRAK4MGLL | |
| SCHEMBL18014829 | 0.77 | HCAR2 (0.39) | IRAK4MGLLKCNH2 | |
| SCHEMBL18014839 | 0.76 | HCAR2 (0.40) | IRAK4IRAK1MGLL | |
| SCHEMBL18202758 | 0.76 | LMNA (0.32) | — |
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-9598354-B2 | Fumarate compounds, pharmaceutical compositions thereof, and methods of use | Nguyen, Mark Quang (US) | 2017-03-21 | — | — | US | disclosed |
| US-20160318848-A1 | FUMARATE COMPOUNDS, PHARMACEUTICAL COMPOSITIONS THEREOF, AND METHODS OF USE | Nguyen, Mark Quang (US) | 2016-11-03 | — | — | 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 (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-20160318848-A1 | FUMARATE COMPOUNDS, PHARMACEUTICAL COMPOSITIONS THEREOF, AND METHODS OF USE | FH, FPGS, APC | IRAK4 2828/4885IRAK1 3007/4885MGLL 2792/4885 |
“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.