Predicted protein targets (top 13)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | PDK1 | Q15118 | 8/20 | 0.54 |
| ▸ | KCNH2 | Q12809 | 1/20 | 0.35 |
| ▸ | KMT2A | Q03164 | 1/20 | 0.33 |
| ▸ | HRH3 | Q9Y5N1 | 1/20 | 0.32 |
| ▸ | PRKCB | P05771 | 1/20 | 0.32 |
| ▸ | SLC6A2 | P23975 | 1/20 | 0.31 |
| ▸ | LRRK2 | Q5S007 | 1/20 | 0.31 |
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.30 |
| ▸ | CYP1A2 | P05177 | 1/20 | 0.30 |
| ▸ | GLA | P06280 | 1/20 | 0.30 |
| ▸ | HSD17B10 | Q99714 | 1/20 | 0.30 |
| ▸ | ATM | Q13315 | 1/20 | 0.30 |
| ▸ | L3MBTL1 | Q9Y468 | 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 | |
|---|---|---|---|---|
| SCHEMBL20745204 | 1.00 | PDK1 (0.54) | PDK1KCNH2KMT2AHRH3PRKCB | |
| SCHEMBL1183770 | 0.88 | — | — | |
| SCHEMBL1139650 | 0.88 | — | — | |
| SCHEMBL1183098 | 0.88 | — | — | |
| SCHEMBL13229791 | 0.82 | PDK1 (0.37) | PDK1KCNH2KMT2AHRH3SLC6A2 | |
| SCHEMBL16939080 | 0.82 | PDK1 (0.37) | PDK1KCNH2KMT2AHRH3SLC6A2 | |
| SCHEMBL31328457 | 0.80 | ALDH1A1 (0.36) | PDK1KCNH2HRH3SLC6A2ALDH1A1 | |
| SCHEMBL18593723 | 0.78 | PDK1 (0.56) | PDK1HRH3PRKCB | |
| SCHEMBL26999673 | 0.76 | PDK1 (0.50) | PDK1KCNH2HRH3 | |
| SCHEMBL22946551 | 0.74 | KCNH2 (0.32) | PDK1KCNH2 |
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-20250313572-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | ABBVIE INC (US) | 2025-10-09 | — | — | US | disclosed |
| US-20240228509-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | ABBVIE INC (US) | 2024-07-11 | — | — | US | disclosed |
| US-20230399340-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | ABBVIE INC (US) | 2023-12-14 | — | — | US | disclosed |
| CN-111818916-A | Macrocyclic MCL-1 inhibitors and methods of use | 艾伯维公司 | 2020-10-23 | — | — | CN | disclosed |
| US-20200239494-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | ABBVIE INC (US) | 2020-07-30 | — | — | US | disclosed |
| EP-3668502-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | AbbVie Inc. (US) | 2020-06-24 | — | — | EP | disclosed |
| WO-2019035927-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | ABBVIE INC. (US) | 2019-02-21 | — | — | WO | 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 (4 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-20240228509-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | MCL1, BCL2A1, BCL2L10 | PDK1 2472/4885KCNH2 3054/4885KMT2A 1365/4885 |
| US-20200239494-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | MCL1, BCL2A1, BCL2L10 | PDK1 2472/4885KCNH2 3054/4885KMT2A 1365/4885 |
| US-20250313572-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | MCL1, BCL2A1, BCL2L10 | PDK1 2472/4885KCNH2 3054/4885KMT2A 1365/4885 |
| US-20230399340-A1 | MACROCYCLIC MCL-1 INHIBITORS AND METHODS OF USE | MCL1, BCL2A1, BCL2L10 | PDK1 2472/4885KCNH2 3054/4885KMT2A 1365/4885 |
“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.