Curcumin

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.

	Compound	similarity	top predicted	shared targets
	Curcumin SCHEMBL15380842	1.00	APP (0.97)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL29636029	1.00	APP (0.97)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL6901740	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL2804734	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL8440	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL17629819	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL8336603	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL17629818	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL250984	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1
	Curcumin SCHEMBL29360171	0.98	APP (1.00)	APPMAPTBACE1MMP9NFKB1

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

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.

“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.