SCHEMBL16442084

SCHEMBL16442084

Cc1ccc2c(=O)cc(C)[nH]c2c1

nearest known ligand 0.72

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ ALDH1A1 P00352 5/20 0.72
▸ LMNA P02545 3/20 0.68
▸ GAA P10253 3/20 0.63
▸ CYP1A2 P05177 2/20 0.63
▸ MAPT P10636 3/20 0.62
▸ HPGD P15428 4/20 0.53
▸ KEAP1 Q14145 1/20 0.53
▸ NFE2L2 Q16236 1/20 0.53
▸ ADORA1 P30542 2/20 0.52
▸ KIF11 P52732 1/20 0.50
▸ KDM4E B2RXH2 4/20 0.49
▸ MEN1 O00255 3/20 0.49
▸ KMT2A Q03164 3/20 0.49
▸ RXFP1 Q9HBX9 2/20 0.47
▸ L3MBTL1 Q9Y468 1/20 0.47
▸ TP53 P04637 1/20 0.47
▸ MITF O75030 1/20 0.46
▸ TSHR P16473 1/20 0.46
▸ HSD17B10 Q99714 1/20 0.46
▸ ADORA2A P29274 1/20 0.46

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
SCHEMBL4791757 0.84 ALDH1A1 (1.00) ALDH1A1LMNAGAACYP1A2MAPT
SCHEMBL30374884 0.84 ALDH1A1 (1.00) ALDH1A1LMNAGAACYP1A2MAPT
SCHEMBL8873180 0.78 CA12 (0.56) ALDH1A1LMNAGAAMAPTHPGD
SCHEMBL13024464 0.78 LMNA (0.60) ALDH1A1LMNAGAACYP1A2MAPT
SCHEMBL19032120 0.78 LMNA (0.60) ALDH1A1LMNAGAACYP1A2MAPT
SCHEMBL3740247 0.78 ALDH1A1 (0.76) ALDH1A1LMNAGAACYP1A2MAPT
SCHEMBL9387738 0.78 DAO (0.65) ALDH1A1LMNAKIF11KDM4EMEN1
SCHEMBL9180711 0.78 LMNA (0.49) ALDH1A1LMNAMAPTHPGDADORA1
SCHEMBL527043 0.78 CYP1A2 (1.00) ALDH1A1LMNAGAACYP1A2MAPT
SCHEMBL19032063 0.77 MAPT (1.00) ALDH1A1LMNAGAACYP1A2MAPT

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 11 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11964944-B2 Compounds and methods for treating, detecting, and identifying compounds to treat apicomplexan parasitic diseases THE UNIVERSITY OF CHICAGO (US) 2024-04-23 — — US disclosed
US-20230140413-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases THE UNIVERSITY OF CHICAGO 2023-05-04 — — US disclosed
US-20230140413-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases THE UNIVERSITY OF CHICAGO 2023-05-04 — — US disclosed
US-20230140413-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases THE UNIVERSITY OF CHICAGO 2023-05-04 — — US disclosed
US-11414385-B2 Compounds and methods for treating, detecting, and identifying compounds to treat apicomplexan parasitic diseases THE UNIVERSITY OF CHICAGO 2022-08-16 — — US disclosed
US-20200283391-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases THE UNIVERSITY OF CHICAGO 2020-09-10 — — US disclosed
US-20200283391-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases THE UNIVERSITY OF CHICAGO 2020-09-10 — — US disclosed
EP-3394032-A1 COMPOUNDS AND METHODS FOR TREATING, DETECTING, AND IDENTIFYING COMPOUNDS TO TREAT APICOMPLEXAN PARASITIC DISEASES The University of Chicago (US) 2018-10-31 — — EP disclosed
WO-2017112678-A1 COMPOUNDS AND METHODS FOR TREATING, DETECTING, AND IDENTIFYING COMPOUNDS TO TREAT APICOMPLEXAN PARASITIC DISEASES MCLEOD RIMA (US) 2017-06-29 — — WO disclosed
WO-2017112678-A1 COMPOUNDS AND METHODS FOR TREATING, DETECTING, AND IDENTIFYING COMPOUNDS TO TREAT APICOMPLEXAN PARASITIC DISEASES MCLEOD RIMA (US) 2017-06-29 — — WO disclosed
WO-2015017589-A1 1,4-DISUBSTITUTED PYRIDAZINE DERIVATIVES AND THEIR USE FOR TREATING SMN-DEFICIENCY-RELATED CONDITIONS NOVARTIS AG (CH) 2015-02-05 — — 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.

PatentTitleText reads most aboutPredicted target · text-rank
US-20200283391-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases TUBB1, MYADM, TUBB ALDH1A1 342/4885LMNA 3310/4885GAA 3214/4885
US-11964944-B2 Compounds and methods for treating, detecting, and identifying compounds to treat apicomplexan parasitic diseases TUBB1, MYADM, TUBB ALDH1A1 304/4885LMNA 3064/4885GAA 2895/4885
US-20230140413-A1 Compounds and Methods for Treating, Detecting, and Identifying Compounds to Treat Apicomplexan Parasitic Diseases TUBB1, MYADM, TUBB ALDH1A1 304/4885LMNA 3064/4885GAA 2895/4885
US-11414385-B2 Compounds and methods for treating, detecting, and identifying compounds to treat apicomplexan parasitic diseases TUBB1, MYADM, TUBB ALDH1A1 342/4885LMNA 3310/4885GAA 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.

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