Predicted protein targets (top 1)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | IGF2R | P11717 | 3/20 | 0.35 |
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 | |
|---|---|---|---|---|
| SCHEMBL19608814 | 0.93 | ITPR3 (0.30) | — | |
| SCHEMBL10005839 | 0.93 | ITPR3 (0.30) | — | |
| SCHEMBL1642428 | 0.93 | ITPR3 (0.30) | — | |
| SCHEMBL12674234 | 0.91 | — | — | |
| SCHEMBL10005840 | 0.91 | — | — | |
| SCHEMBL1642430 | 0.91 | — | — | |
| SCHEMBL13998597 | 0.89 | — | — | |
| SCHEMBL12243052 | 0.89 | — | — | |
| SCHEMBL12173555 | 0.88 | — | — | |
| SCHEMBL19608817 | 0.86 | — | — |
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 3 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-20230256119-A1 | COMPOSITIONS AND METHODS FOR PREPARING AN ALZHEIMER'S DISEASE ANIMAL MODEL USING MICRORNA | BIORCHESTRA CO., LTD. (KR) | 2023-08-17 | — | — | US | disclosed |
| US-20230167502-A1 | DIAGNOSTIC METHODS USING MIR-485-3P EXPRESSION | BIORCHESTRA CO., LTD. (KR) | 2023-06-01 | — | — | US | disclosed |
| US-20180016575-A1 | LNA Gapmer Oligonucleotides Comprising Chiral Phosphorothioate Linkages | ROCHE INNOVATION CENTER COPENHAGEN A/S (CH) | 2018-01-18 | — | — | 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-20230256119-A1 | COMPOSITIONS AND METHODS FOR PREPARING AN ALZHEIMER'S DISEASE ANIMAL MODEL USING MICRORNA | APP, PSEN2, PSEN1 | IGF2R 3760/4885 |
“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.