SCHEMBL13502397

SCHEMBL13502397

Cc1ccc(S(=O)(=O)N[C@H](C(=O)O)[C@@H](C)[C@H](C)O)cc1

nearest known ligand 0.69

Predicted protein targets (top 12)

geneUniProtsupporting neighboursconfidence
▸ MMP9 P14780 12/20 0.69
▸ MMP2 P08253 12/20 0.69
▸ MMP3 P08254 10/20 0.69
▸ MMP13 P45452 10/20 0.69
▸ MMP1 P03956 9/20 0.69
▸ MMP7 P09237 9/20 0.69
▸ SLC1A3 P43003 1/20 0.67
▸ SLC1A2 P43004 1/20 0.67
▸ SLC1A1 P43005 1/20 0.67
▸ ADAMTS4 O75173 4/20 0.55
▸ MMP14 P50281 1/20 0.52
▸ MMP8 P22894 1/20 0.50

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
SCHEMBL6296214 0.91 MMP9 (0.73) MMP9MMP2MMP3MMP13MMP1
SCHEMBL21538657 0.91 MMP9 (0.73) MMP9MMP2MMP3MMP13MMP1
SCHEMBL6302637 0.91 MMP9 (0.73) MMP9MMP2MMP3MMP13MMP1
SCHEMBL3964630 0.86 MMP9 (0.91) MMP9MMP2MMP3MMP13MMP1
SCHEMBL4588942 0.86 MMP9 (0.91) MMP9MMP2MMP3MMP13MMP1
SCHEMBL6446613 0.86 MMP9 (0.91) MMP9MMP2MMP3MMP13MMP1
SCHEMBL7870619 0.82 MMP2 (1.00) MMP9MMP2MMP3MMP13MMP1
SCHEMBL21538660 0.82 MMP9 (0.69) MMP9MMP2MMP3MMP13MMP1
SCHEMBL7870625 0.82 MMP2 (1.00) MMP9MMP2MMP3MMP13MMP1
SCHEMBL28216417 0.82 MMP9 (0.69) MMP9MMP2MMP3MMP13MMP1

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-20100048545-A1 Compounds and Compositions for Use in the Prevention and Treatment of Disorders of Fat Metabolism and Obesity INNODIA INC. (CA) 2010-02-25 — — 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-20100048545-A1 Compounds and Compositions for Use in the Prevention and Treatment of Disorders of Fat Metabolism and Obesity LIPC, PC, LIPE MMP9 1340/4885MMP2 1160/4885MMP3 987/4885

“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.

Send feedback