SCHEMBL23014689

SCHEMBL23014689

O=C(O)Cc1ccc(-c2c3nc(c4ccc([nH]4)c(-c4ccc(CC(=O)O)cc4)c4ccc([nH]4)c(-c4ccc(CC(=O)O)cc4)c4ccc2[nH]4)C=C3)cc1

nearest known ligand 0.62

Predicted protein targets (top 19)

geneUniProtsupporting neighboursconfidence
▸ TOP1 P11387 4/20 0.62
▸ CYCS P99999 4/20 0.61
▸ ENPP2 Q13822 1/20 0.52
▸ ABCG2 Q9UNQ0 1/20 0.49
▸ TERT O14746 3/20 0.47
▸ KDM4E B2RXH2 1/20 0.46
▸ MEN1 O00255 1/20 0.46
▸ ALDH1A1 P00352 1/20 0.46
▸ MAPT P10636 1/20 0.46
▸ HPGD P15428 1/20 0.46
▸ KMT2A Q03164 1/20 0.46
▸ HSD17B10 Q99714 1/20 0.46
▸ PPARG P37231 1/20 0.45
▸ ABCC4 O15439 1/20 0.44
▸ LMNA P02545 1/20 0.44
▸ GAA P10253 1/20 0.44
▸ TSHR P16473 1/20 0.44
▸ PTGS1 P23219 1/20 0.44
▸ HTT P42858 1/20 0.44

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
SCHEMBL7664820 0.97 TOP1 (0.66) TOP1CYCSENPP2ABCG2TERT
SCHEMBL8909228 0.80 GRIN2D (0.53) TOP1CYCSENPP2ABCG2TERT
SCHEMBL7672026 0.79 TOP1 (0.59) TOP1CYCSENPP2ABCG2TERT
SCHEMBL21703115 0.78 TOP1 (0.81) TOP1CYCSENPP2ABCG2TERT
SCHEMBL29354037 0.77 TOP1 (1.00) TOP1CYCSENPP2ABCG2TERT
SCHEMBL709532 0.77 TOP1 (1.00) TOP1CYCSENPP2ABCG2TERT
SCHEMBL30925005 0.77 TOP1 (0.57) TOP1CYCSENPP2ABCG2TERT
SCHEMBL2240990 0.76 TOP1 (0.60) TOP1CYCSENPP2TERT
SCHEMBL3794157 0.76 TOP1 (0.61) TOP1CYCSENPP2ABCG2TERT
SCHEMBL1497141 0.76 TOP1 (0.97) TOP1CYCSENPP2ABCG2TERT

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.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11629160-B2 Corrole-based frameworks and methods of use thereof UNIVERSITY OF SOUTH FLORIDA (US) 2023-04-18 — — US disclosed
US-20220267361-A1 CORROLE-BASED FRAMEWORKS AND METHODS OF USE THEREOF UNIVERSITY OF SOUTH FLORIDA 2022-08-25 — — US disclosed
WO-2021035010-A1 CORROLE-BASED FRAMEWORKS AND METHODS OF USE THEREOF MA SHENGQIAN (US) 2021-02-25 — — 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-11629160-B2 Corrole-based frameworks and methods of use thereof CA13, CA12, ERCC4 TOP1 1379/4885CYCS 67/4885ENPP2 3724/4885
US-20220267361-A1 CORROLE-BASED FRAMEWORKS AND METHODS OF USE THEREOF CA13, CA12, ERCC4 TOP1 1379/4885CYCS 67/4885ENPP2 3724/4885

“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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