SCHEMBL24424513

SCHEMBL24424513

COc1cc(-c2cc(C(=O)O)n[nH]2)c(Cl)cn1

nearest known ligand 0.41

Predicted protein targets (top 15)

geneUniProtsupporting neighboursconfidence
▸ HCAR2 Q8TDS4 10/20 0.41
▸ PRKAG1 P54619 1/20 0.40
▸ PRKAA1 Q13131 1/20 0.40
▸ PRKAB1 Q9Y478 1/20 0.40
▸ DAO P14920 1/20 0.40
▸ MEN1 O00255 3/20 0.38
▸ KMT2A Q03164 3/20 0.38
▸ POLB P06746 1/20 0.38
▸ MAPT P10636 1/20 0.38
▸ SIRT6 Q8N6T7 1/20 0.37
▸ HCAR3 P49019 1/20 0.37
▸ LMNA P02545 1/20 0.36
▸ TDP1 Q9NUW8 1/20 0.36
▸ NNMT P40261 1/20 0.35
▸ ALOX15 P16050 1/20 0.34

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.

Compoundsimilaritytop predictedshared targets
SCHEMBL29586549 1.00 HCAR2 (0.41) HCAR2PRKAG1PRKAA1PRKAB1DAO
SCHEMBL24423705 0.84 HCAR2 (0.42) HCAR2DAOMEN1KMT2APOLB
SCHEMBL30630483 0.84 HCAR2 (0.42) HCAR2DAOMEN1KMT2APOLB
SCHEMBL24424425 0.81 NPC1 (0.42) MEN1KMT2APOLB
SCHEMBL24423866 0.80 GAA (0.40) KMT2AMAPT
SCHEMBL29585305 0.79 MGLL (0.33) —
SCHEMBL24423448 0.79 MGLL (0.33) —
SCHEMBL24423714 0.79 MGLL (0.33) —
SCHEMBL24424639 0.79 ACACB (0.37) —
SCHEMBL24423040 0.79 FFAR2 (0.35) PRKAG1PRKAA1PRKAB1

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.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-12606541-B2 PPARg modulators and methods of use EISAI R&D MANAGEMENT CO., LTD. (JP) 2026-04-21 — — US disclosed
EP-4240736-A1 PPAR GAMMA MODULATORS AND METHODS OF USE Eisai R&D Management Co., Ltd. (JP) 2023-09-13 — — EP disclosed
CN-116635380-A PPARgamma modulators and methods of use 卫材R&D管理有限公司 2023-08-22 — — CN disclosed
US-20230062861-A1 PPARg MODULATORS AND METHODS OF USE EISAI R&D MANAGEMENT CO., LTD. (JP) 2023-03-02 — — US disclosed
US-20230062861-A1 PPARg MODULATORS AND METHODS OF USE EISAI R&D MANAGEMENT CO., LTD. (JP) 2023-03-02 — — US disclosed
WO-2022099144-A1 ΡΡΑRγ MODULATORS AND METHODS OF USE Eisai R&D Mangement Co., Ltd. (JP) 2022-05-12 — — WO disclosed
WO-2022099144-A1 ΡΡΑRγ MODULATORS AND METHODS OF USE Eisai R&D Mangement Co., Ltd. (JP) 2022-05-12 — — 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 (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.

PatentTitleText reads most aboutPredicted target · text-rank
US-20230062861-A1 PPARg MODULATORS AND METHODS OF USE PPARG, PPARA, PPARD HCAR2 638/4885PRKAG1 39/4885PRKAA1 81/4885
US-12606541-B2 PPARg modulators and methods of use PPARG, PPARA, PPARD HCAR2 396/4885PRKAG1 150/4885PRKAA1 92/4885

“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.

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