SCHEMBL20161670

SCHEMBL20161670

CCOC(=O)C(C)C1O[C@@H](C)[C@H](O)[C@@H](O)[C@H]1O

nearest known ligand 0.39

Predicted protein targets (top 7)

geneUniProtsupporting neighboursconfidence
SELE P16581 3/20 0.34
FUCA1 P04066 2/20 0.33
ADK P55263 1/20 0.32
ALDH1A1 P00352 1/20 0.30
CA9 Q16790 2/20 0.30
CA12 O43570 1/20 0.30
CA2 P00918 1/20 0.30

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
SCHEMBL18214253 0.83 FUCA1 (0.33) SELEFUCA1ADKALDH1A1CA9
SCHEMBL20161315 0.82 NAAA (0.39)
SCHEMBL20161569 0.81 FUCA1 (0.33) FUCA1ALDH1A1
SCHEMBL20161308 0.81 FUCA1 (0.31) SELEFUCA1CA9CA12CA2
SCHEMBL20161450 0.81 PYGB (0.42) ALDH1A1
SCHEMBL20161570 0.81 PYGB (0.42) ALDH1A1
SCHEMBL20161440 0.81 PYGB (0.42) ALDH1A1
SCHEMBL20161901 0.77 CA9 (0.34) FUCA1CA9CA12CA2
SCHEMBL23478046 0.73 FUCA1 (0.38) FUCA1CA9CA12CA2
SCHEMBL23478009 0.73 FUCA1 (0.38) FUCA1CA9CA12CA2

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-11045411-B2 Process for treating keratin materials using amide, acid or ester c-glycoside derivatives, and cosmetic composition containing same L'OREAL (FR) 2021-06-29 US disclosed
US-20180133137-A1 PROCESS FOR TREATING KERATIN MATERIALS USING AMIDE, ACID OR ESTER C-GLYCOSIDE DERIVATIVES, AND COSMETIC COMPOSITION CONTAINING SAME L'OREAL (FR) 2018-05-17 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-20180133137-A1 PROCESS FOR TREATING KERATIN MATERIALS USING AMIDE, ACID OR ESTER C-GLYCOSIDE DERIVATIVES, AND COSMETIC COMPOSITION CONTAINING SAME KRT18, CUTA, GLA SELE 1023/4885FUCA1 58/4885ADK 699/4885
US-11045411-B2 Process for treating keratin materials using amide, acid or ester c-glycoside derivatives, and cosmetic composition containing same KRT18, CUTA, GLA SELE 1023/4885FUCA1 58/4885ADK 699/4885

“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.