SCHEMBL30685381

SCHEMBL30685381

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

nearest known ligand 0.44

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
▸ CTSD P07339 3/20 0.44
▸ REN P00797 3/20 0.38
▸ CACNA2D1 P54289 2/20 0.38
▸ CACNB3 P54284 1/20 0.38
▸ CACNA1C Q13936 1/20 0.38
▸ PGR P06401 1/20 0.38
▸ ADRA1A P35348 1/20 0.38
▸ HTR2B P41595 1/20 0.38
▸ CACNA2D2 Q9NY47 1/20 0.38

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
SCHEMBL9819784 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL2746636 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL29409291 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL27594545 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL8594 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL42411 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL9866878 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL8492066 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
SCHEMBL8530515 0.83 CACNA2D1 (0.50) CACNA2D1CACNB3CACNA1CPGRADRA1A
Ammonia Solution, Strong SCHEMBL5396838 0.82 CACNA2D1 (0.48) CACNA2D1CACNB3CACNA1CPGRADRA1A

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
CN-117274110-B Image optimization method based on generation type artificial intelligence and graph neural network 吉林大学 2024-02-13 — — CN disclosed
CN-117274110-A Image optimization method based on generation type artificial intelligence and graph neural network 吉林大学 2023-12-22 — — CN disclosed
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