SCHEMBL21032104

SCHEMBL21032104

CCCC(=O)NCCCC[C@H](NC(=O)[C@H](CCCCN(CC(=O)O)CC(=O)O)N(CC(=O)O)CC(=O)O)C(=O)O

nearest known ligand 0.41

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
GLP1R P43220 8/20 0.41
SIRT2 Q8IXJ6 1/20 0.40
NOD1 Q9Y239 4/20 0.40
FOLH1 Q04609 2/20 0.40
ALB P02768 2/20 0.37
CASP2 P42575 1/20 0.37
MMP1 P03956 1/20 0.37
MMP3 P08254 1/20 0.37
MMP8 P22894 1/20 0.37

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
SCHEMBL21534104 0.94 GLP1R (0.48) GLP1RSIRT2NOD1FOLH1
SCHEMBL21032736 0.87 FOLH1 (0.51) FOLH1ALB
SCHEMBL19975584 0.85 FOLH1 (0.36) NOD1FOLH1
SCHEMBL19970336 0.85 FOLH1 (0.36) NOD1FOLH1
SCHEMBL19975587 0.82 GNPAT (0.37) NOD1FOLH1
SCHEMBL21534085 0.81 FOLH1 (0.35) NOD1FOLH1
SCHEMBL21031586 0.80 FOLH1 (0.47) FOLH1
SCHEMBL21032263 0.76 FOLH1 (0.60) SIRT2FOLH1MMP1MMP3
SCHEMBL23452088 0.75 NOD1 (0.61) GLP1RNOD1FOLH1ALBCASP2
SCHEMBL13057100 0.75 NOD1 (0.61) GLP1RNOD1FOLH1ALBCASP2

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10617662-B2 Autophagy activation-induced compound for improving skin inflammation for aging INCOSPHARM CORPORATION (KR) 2020-04-14 US disclosed
US-20190160033-A1 NOVEL AUTOPHAGY ACTIVATION-INDUCED COMPOUND FOR IMPROVING SKIN INFLAMMATION FOR AGING INCOSPHARM CORPORATION (KR) 2019-05-30 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 (2 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-10617662-B2 Autophagy activation-induced compound for improving skin inflammation for aging TFEB, ATG7, BECN1 GLP1R 730/4885SIRT2 43/4885NOD1 783/4885
US-20190160033-A1 NOVEL AUTOPHAGY ACTIVATION-INDUCED COMPOUND FOR IMPROVING SKIN INFLAMMATION FOR AGING TFEB, ATG7, BECN1 GLP1R 857/4885SIRT2 47/4885NOD1 901/4885

“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.