SCHEMBL20189275

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
	SCHEMBL20190629	0.84	MEN1 (0.59)	APLNRALDH1A1HPGDKMT2AMEN1
	SCHEMBL20190224	0.78	APLNR (0.57)	APLNRALDH1A1HPGDPOLBRECQL
	SCHEMBL20190106	0.78	APLNR (0.52)	APLNRALDH1A1HPGDNPC1MAPT
	SCHEMBL20187769	0.77	APLNR (1.00)	APLNRALDH1A1HPGDMAPK1DCTPP1
	SCHEMBL20190250	0.75	APLNR (0.53)	APLNRALDH1A1HPGDPOLBRECQL
	SCHEMBL20190048	0.73	APLNR (0.61)	APLNR
	SCHEMBL20190589	0.71	APLNR (0.52)	APLNRALDH1A1HPGDKMT2AMEN1
	SCHEMBL20191039	0.70	APLNR (0.52)	APLNRALDH1A1HPGDPOLBRECQL
	SCHEMBL20168650	0.69	APLNR (0.56)	APLNRALDH1A1HPGDKMT2AMEN1
	SCHEMBL20191001	0.66	APLNR (0.44)	APLNRALDH1A1HPGDSIRT1POLB

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 (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.

“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.