SCHEMBL29944840

SCHEMBL29944840

CCOc1ccc(N(C)S(=O)(=O)c2ccsc2C(=O)Nc2cccc(C(=O)OC(C)(C)C)c2)cc1

nearest known ligand 0.75

Predicted protein targets (top 15)

geneUniProtsupporting neighboursconfidence
SREBF1 P36956 12/20 0.75
NR1H3 Q13133 8/20 0.75
NR1H2 P55055 8/20 0.75
NPC1 O15118 4/20 0.46
RAB9A P51151 3/20 0.46
SMN1; SMN2 Q16637 3/20 0.46
MEN1 O00255 2/20 0.46
KMT2A Q03164 2/20 0.46
MAPT P10636 2/20 0.46
RECQL P46063 1/20 0.44
LMNA P02545 2/20 0.43
ALDH1A1 P00352 2/20 0.43
MAPK1 P28482 1/20 0.43
MITF O75030 1/20 0.43
PAX8 Q06710 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
SCHEMBL27245358 0.92 SREBF1 (0.85) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL27030601 0.91 SREBF1 (0.89) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL27030659 0.91 SREBF1 (0.76) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL29944875 0.90 SREBF1 (0.75) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL27030433 0.90 SREBF1 (0.75) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL27030385 0.90 SREBF1 (0.74) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL29944885 0.90 SREBF1 (0.74) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL29944865 0.89 SREBF1 (0.73) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL27030466 0.89 SREBF1 (0.73) SREBF1NR1H3NR1H2NPC1RAB9A
SCHEMBL27030557 0.89 SREBF1 (0.73) SREBF1NR1H3NR1H2NPC1RAB9A

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-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
EP-4308554-A1 COMPOUNDS, COMPOSITIONS, AND METHODS FOR TREATING TYPE 2 DIABETES AND DEMENTIA The Board of Trustees of the University of Illinois (US) 2024-01-24 EP disclosed
WO-2022197658-A1 COMPOUNDS, COMPOSITIONS, AND METHODS FOR TREATING TYPE 2 DIABETES AND DEMENTIA THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS (US) 2022-09-22 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-20240199572-A1 COMPOUNDS, COMPOSITIONS, AND METHODS FOR TREATING TYPE 2 DIABETES AND DEMENTIA SREBF2, SREBF1, SLC2A2 SREBF1 2/4885NR1H3 21/4885NR1H2 14/4885

“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.