Predicted protein targets (top 10)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | APP | P05067 | 5/20 | 0.34 |
| ▸ | SNCA | P37840 | 3/20 | 0.32 |
| ▸ | MEN1 | O00255 | 2/20 | 0.30 |
| ▸ | KMT2A | Q03164 | 2/20 | 0.30 |
| ▸ | CRHBP | P24387 | 1/20 | 0.30 |
| ▸ | HTT | P42858 | 1/20 | 0.30 |
| ▸ | CRHR2 | Q13324 | 1/20 | 0.30 |
| ▸ | KEAP1 | Q14145 | 1/20 | 0.30 |
| ▸ | NFE2L2 | Q16236 | 1/20 | 0.30 |
| ▸ | MAPT | P10636 | 1/20 | 0.30 |
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 | |
|---|---|---|---|---|
| SCHEMBL20850093 | 0.95 | APP (0.33) | APPSNCA | |
| SCHEMBL20850338 | 0.94 | APP (0.33) | APPSNCAMEN1KMT2ACRHBP | |
| SCHEMBL20850283 | 0.89 | SLC16A3 (0.33) | APPMEN1KMT2AMAPT | |
| SCHEMBL20850204 | 0.86 | APP (0.32) | APPMEN1KMT2A | |
| SCHEMBL20850388 | 0.84 | MEN1 (0.32) | APPMEN1KMT2AHTTMAPT | |
| SCHEMBL20850098 | 0.83 | SLC16A3 (0.36) | APPMEN1KMT2ACRHBPHTT | |
| SCHEMBL20850346 | 0.82 | APP (0.31) | APPSNCA | |
| SCHEMBL20850386 | 0.80 | — | — | |
| SCHEMBL20850284 | 0.79 | SLC16A3 (0.34) | APPMEN1KMT2ACRHBPHTT | |
| SCHEMBL20850395 | 0.79 | MAPT (0.37) | APPMEN1KMT2AMAPT |
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-10947212-B2 | Photoelectric conversion element, two-dimensional sensor, image sensor, and image pickup device | CANON KABUSHIKI KAISHA (JP) | 2021-03-16 | — | — | US | disclosed |
| US-20190092743-A1 | PHOTOELECTRIC CONVERSION ELEMENT, TWO-DIMENSIONAL SENSOR, IMAGE SENSOR, AND IMAGE PICKUP DEVICE | CANON KABUSHIKI KAISHA (JP) | 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-20190092743-A1 | PHOTOELECTRIC CONVERSION ELEMENT, TWO-DIMENSIONAL SENSOR, IMAGE SENSOR, AND IMAGE PICKUP DEVICE | NR2E3, CRY2, GPR3 | APP 1621/4885SNCA 1341/4885MEN1 3080/4885 |
| US-10947212-B2 | Photoelectric conversion element, two-dimensional sensor, image sensor, and image pickup device | NR2E3, CRY2, GPR3 | APP 1621/4885SNCA 1341/4885MEN1 3080/4885 |
“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.