SCHEMBL22073684

SCHEMBL22073684

O=C(CNS(=O)(=O)c1ccccc1C(=O)NCCc1ccccc1)Nc1ccc(O)cc1

nearest known ligand 0.80

Predicted protein targets (top 16)

geneUniProtsupporting neighboursconfidence
CYP3A4 P08684 1/20 0.80
PTGES O14684 1/20 0.50
MT-CO2 P00403 1/20 0.50
MEN1 O00255 3/20 0.48
KMT2A Q03164 3/20 0.48
GBA1 P04062 1/20 0.48
TRPV1 Q8NER1 1/20 0.47
NPC1 O15118 3/20 0.45
RAB9A P51151 3/20 0.45
SYK P43405 1/20 0.44
LMNA P02545 3/20 0.44
ALDH1A1 P00352 3/20 0.44
SMN1; SMN2 Q16637 2/20 0.44
SLC6A5 Q9Y345 1/20 0.43
CA2 P00918 1/20 0.43
NPSR1 Q6W5P4 1/20 0.43

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
SCHEMBL22073588 0.89 CYP3A4 (0.67) CYP3A4PTGESMT-CO2MEN1KMT2A
SCHEMBL22077263 0.89 CYP3A4 (1.00) CYP3A4PTGESMT-CO2MEN1KMT2A
SCHEMBL22073636 0.85 CYP3A4 (0.68) CYP3A4PTGESMEN1KMT2ATRPV1
SCHEMBL31087517 0.85 CYP3A4 (0.68) CYP3A4PTGESMEN1KMT2ATRPV1
SCHEMBL22076803 0.85 CYP3A4 (0.68) CYP3A4PTGESMEN1KMT2ATRPV1
SCHEMBL22073635 0.85 CYP3A4 (0.70) CYP3A4PTGESMT-CO2MEN1KMT2A
SCHEMBL6868015 0.83 PTGES (0.68) CYP3A4PTGESMEN1KMT2ATRPV1
SCHEMBL22027542 0.82 CYP3A4 (0.63) CYP3A4PTGESMEN1KMT2ALMNA
SCHEMBL22073631 0.82 CYP3A4 (0.63) CYP3A4PTGESMEN1KMT2ALMNA
SCHEMBL31087523 0.82 CYP3A4 (0.63) CYP3A4PTGESMEN1KMT2ALMNA

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-4680219-A2 ACETAMINOPHEN COMPOSITIONS AND METHODS OF TREATING CANCER The United States Government as represented by the Department of Veterans Affairs (US) 2026-01-21 EP disclosed
WO-2024192214-A2 ACETAMINOPHEN COMPOSITIONS AND METHODS OF TREATING CANCER THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRS (US) 2024-09-19 WO disclosed
EP-3672938-B1 COMPOUNDS FOR AMELIORATING PAIN THE BOARD OF SUPERVISORS OF LOUISIANA STATE UNIV AND AGRICULTURAL AND MECHANICAL COLLEGE (US) 2023-11-01 EP disclosed
US-20200179393-A1 COMPOSITIONS AND METHODS FOR AMELIORATING PAIN NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2020-06-11 US 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-20200179393-A1 COMPOSITIONS AND METHODS FOR AMELIORATING PAIN ACHE, MPO, MMP8 CYP3A4 4236/4885PTGES 38/4885MT-CO2 128/4885

“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.