SCHEMBL27245351

SCHEMBL27245351

CCOC(=O)c1cccc(NC(=O)c2sccc2S(=O)(=O)Nc2ccccc2)c1

nearest known ligand 0.64

Predicted protein targets (top 16)

geneUniProtsupporting neighboursconfidence
NR1H3 Q13133 4/20 0.64
NR1H2 P55055 3/20 0.64
SREBF1 P36956 4/20 0.62
HSD17B10 Q99714 2/20 0.61
MAPK1 P28482 2/20 0.61
EDNRA P25101 4/20 0.56
RAB9A P51151 4/20 0.54
POLB P06746 2/20 0.54
PKM P14618 1/20 0.54
SMN1; SMN2 Q16637 4/20 0.53
MAPT P10636 4/20 0.53
LMNA P02545 3/20 0.53
NPC1 O15118 3/20 0.53
TSHR P16473 1/20 0.53
ALDH1A1 P00352 2/20 0.53
TP53 P04637 1/20 0.52

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
SCHEMBL29944893 1.00 NR1H3 (0.64) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL27245384 0.92 NR1H3 (0.63) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL29944956 0.92 NR1H3 (0.63) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL27030597 0.85 EDNRA (0.66) EDNRATSHR
SCHEMBL7533552 0.84 NR1H3 (0.57) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL30300538 0.82 MAPK1 (0.69) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL27030595 0.81 EDNRA (0.61) SREBF1MAPK1EDNRARAB9ASMN1; SMN2
SCHEMBL29944871 0.79 SREBF1 (0.79) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL27245334 0.79 SREBF1 (0.79) NR1H3NR1H2SREBF1HSD17B10MAPK1
SCHEMBL27030601 0.79 SREBF1 (0.89) NR1H3NR1H2SREBF1HSD17B10MAPK1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20240199572-A1 COMPOUNDS, COMPOSITIONS, AND METHODS FOR TREATING TYPE 2 DIABETES AND DEMENTIA NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2024-06-20 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-20240199572-A1 COMPOUNDS, COMPOSITIONS, AND METHODS FOR TREATING TYPE 2 DIABETES AND DEMENTIA SREBF2, SREBF1, SLC2A2 NR1H3 21/4885NR1H2 14/4885SREBF1 2/4885

“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.