SCHEMBL21032736

SCHEMBL21032736

CC(=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 0.51

Predicted protein targets (top 6)

geneUniProtsupporting neighboursconfidence
FOLH1 Q04609 12/20 0.51
SIRT5 Q9NXA8 2/20 0.40
SMN1; SMN2 Q16637 1/20 0.39
GNPAT O15228 1/20 0.37
ALB P02768 2/20 0.35
ADRA1A P35348 1/20 0.35

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
SCHEMBL19970336 0.89 FOLH1 (0.36) FOLH1GNPATADRA1A
SCHEMBL19975584 0.89 FOLH1 (0.36) FOLH1GNPATADRA1A
SCHEMBL19975587 0.88 GNPAT (0.37) FOLH1SMN1; SMN2GNPATADRA1A
SCHEMBL21032104 0.87 GLP1R (0.41) FOLH1ALB
SCHEMBL21534104 0.85 GLP1R (0.48) FOLH1
SCHEMBL21534085 0.84 FOLH1 (0.35) FOLH1SMN1; SMN2
SCHEMBL21031586 0.83 FOLH1 (0.47) FOLH1GNPAT
SCHEMBL21032263 0.79 FOLH1 (0.60) FOLH1
SCHEMBL13914133 0.79 FOLH1 (0.49) FOLH1SIRT5SMN1; SMN2ADRA1A
SCHEMBL19975586 0.74 CTSK (0.34) GNPAT

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 FOLH1 4203/4885SIRT5 1418/4885SMN1; SMN2 2443/4885
US-20190160033-A1 NOVEL AUTOPHAGY ACTIVATION-INDUCED COMPOUND FOR IMPROVING SKIN INFLAMMATION FOR AGING TFEB, ATG7, BECN1 FOLH1 3707/4885SIRT5 1627/4885SMN1; SMN2 2645/4885

“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.