SCHEMBL22254149

SCHEMBL22254149

CC(Cc1ccc(-n2ccc(NC(=O)N3CCNCC3)nc2=O)cc1)NCC1CNC1

nearest known ligand 0.32

Predicted protein targets (top 3)

geneUniProtsupporting neighboursconfidence
▸ SIGMAR1 Q99720 1/20 0.32
▸ POLB P06746 1/20 0.31
▸ MAPK8 P45983 1/20 0.31

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
SCHEMBL22249237 0.92 POLB (0.30) POLB
SCHEMBL25531949 0.91 SIGMAR1 (0.30) SIGMAR1POLB
SCHEMBL22254816 0.91 SIGMAR1 (0.30) SIGMAR1POLB
SCHEMBL22254844 0.91 SIGMAR1 (0.30) SIGMAR1POLB
SCHEMBL22253995 0.89 TRPV1 (0.31) —
Hydrochloric Acid SCHEMBL22234125 0.88 TRPV1 (0.31) —
SCHEMBL22254814 0.88 SIGMAR1 (0.30) SIGMAR1
SCHEMBL25552135 0.88 SIGMAR1 (0.30) SIGMAR1
SCHEMBL25552485 0.87 POLB (0.35) SIGMAR1POLB
SCHEMBL22254837 0.86 MAPK8 (0.35) POLBMAPK8

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-20230159491-A1 Antimicrobial Compounds and Methods NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2023-05-25 — — US disclosed
US-20230159491-A1 Antimicrobial Compounds and Methods NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2023-05-25 — — US disclosed
WO-2020150385-A1 ANTIMICROBIAL COMPOUNDS AND METHODS CURZA GLOBAL, LLC (US) 2020-07-23 — — 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 (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.

PatentTitleText reads most aboutPredicted target · text-rank
US-20230159491-A1 Antimicrobial Compounds and Methods MPO, NISCH, RPN2 SIGMAR1 1380/4885POLB 108/4885MAPK8 2938/4885

“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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