Predicted protein targets (top 20)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | LMNA | P02545 | 3/20 | 0.38 |
| ▸ | MAPT | P10636 | 3/20 | 0.38 |
| ▸ | MEN1 | O00255 | 3/20 | 0.38 |
| ▸ | TSHR | P16473 | 3/20 | 0.38 |
| ▸ | KMT2A | Q03164 | 3/20 | 0.38 |
| ▸ | KDM4E | B2RXH2 | 2/20 | 0.38 |
| ▸ | ALOX15 | P16050 | 1/20 | 0.38 |
| ▸ | AGER | Q15109 | 1/20 | 0.38 |
| ▸ | HSD17B10 | Q99714 | 1/20 | 0.38 |
| ▸ | TDP1 | Q9NUW8 | 1/20 | 0.38 |
| ▸ | L3MBTL1 | Q9Y468 | 1/20 | 0.38 |
| ▸ | ALOX5AP | P20292 | 1/20 | 0.38 |
| ▸ | FEN1 | P39748 | 1/20 | 0.38 |
| ▸ | ALDH1A1 | P00352 | 2/20 | 0.38 |
| ▸ | TP53 | P04637 | 1/20 | 0.38 |
| ▸ | CYP1A2 | P05177 | 1/20 | 0.38 |
| ▸ | CYP3A4 | P08684 | 1/20 | 0.38 |
| ▸ | MAPK1 | P28482 | 1/20 | 0.38 |
| ▸ | CYP2C19 | P33261 | 1/20 | 0.38 |
| ▸ | HIF1A | Q16665 | 1/20 | 0.38 |
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 | |
|---|---|---|---|---|
| SCHEMBL18146383 | 1.00 | LMNA (0.38) | LMNAMAPTMEN1TSHRKMT2A | |
| SCHEMBL19818294 | 0.67 | TNF (0.45) | ALOX5APFEN1WDR5PIK3CAMTOR | |
| SCHEMBL19818295 | 0.67 | TNF (0.45) | ALOX5APFEN1WDR5PIK3CAMTOR | |
| SCHEMBL19818293 | 0.67 | TNF (0.45) | ALOX5APFEN1WDR5PIK3CAMTOR | |
| SCHEMBL29794977 | 0.66 | TNF (0.41) | LMNAMAPTMEN1TSHRKMT2A | |
| SCHEMBL18145753 | 0.65 | TNF (0.50) | ALOX5APFEN1WDR5PIK3CACNR2 | |
| SCHEMBL18145710 | 0.65 | TNF (0.48) | ALOX5APFEN1WDR5PIK3CAMTOR | |
| SCHEMBL18157271 | 0.65 | TNF (0.50) | ALOX5APFEN1WDR5PIK3CACNR2 | |
| SCHEMBL18145674 | 0.65 | TNF (0.50) | ALOX5APFEN1WDR5PIK3CACNR2 | |
| SCHEMBL18145676 | 0.65 | TNF (0.50) | ALOX5APFEN1WDR5PIK3CACNR2 |
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 7 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| US-20260131007-A1 | Mannose 6-Phosphate Receptor Binding Compounds for the Degradation of Extracellular Proteins | AVILAR THERAPEUTICS, INC. (US) | 2026-05-14 | — | — | US | disclosed |
| EP-4493221-A2 | TARGETED BIFUNCTIONAL DEGRADERS | Yale University (US) | 2025-01-22 | — | — | EP | disclosed |
| CN-119212727-A | Targeted bifunctional degradants | 耶鲁大学 | 2024-12-27 | — | — | CN | disclosed |
| WO-2024182772-A2 | MANNOSE 6-PHOSPHATE RECEPTOR BINDING COMPOUNDS FOR THE DEGRADATION OF EXTRACELLULAR PROTEINS | AVILAR THERAPEUTICS, INC. (US) | 2024-09-06 | — | — | WO | disclosed |
| WO-2023178199-A2 | TARGETED BIFUNCTIONAL DEGRADERS | YALE UNIVERSITY (US) | 2023-09-21 | — | — | WO | disclosed |
| CN-115315272-A | Targeting difunctional degradation agent | 耶鲁大学 | 2022-11-08 | — | — | CN | disclosed |
| EP-4041262-A1 | TARGETED BIFUNCTIONAL DEGRADERS | Yale University (US) | 2022-08-17 | — | — | EP | 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-20260131007-A1 | Mannose 6-Phosphate Receptor Binding Compounds for the Degradation of Extracellular Proteins | IGF2R, M6PR, MSR1 | LMNA 3278/4885MAPT 4859/4885MEN1 3214/4885 |
“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.