SCHEMBL4769304

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
	SCHEMBL4770735	0.82	APP (0.42)	APPHPGDLMNAKMT2AKDM4E
	SCHEMBL14102887	0.75	RPS6KA3 (0.49)	HPGDLMNAHTTKMT2AMEN1
	SCHEMBL4766762	0.73	APP (0.45)	APPHPGDHTTKMT2AMEN1
	SCHEMBL29581194	0.73	HAO1 (0.45)	APPLMNAHTTKMT2AMEN1
	SCHEMBL22189805	0.73	HAO1 (0.45)	APPLMNAHTTKMT2AMEN1
	SCHEMBL22189574	0.72	LMNA (0.55)	APPLMNAKMT2AKDM4EL3MBTL1
	SCHEMBL2524456	0.71	APP (0.61)	APPHPGDLMNAKDM4EL3MBTL1
	SCHEMBL29590486	0.69	SLC22A12 (0.64)	—
	SCHEMBL28938088	0.69	SLC22A12 (0.64)	—
	SCHEMBL703609	0.67	APP (0.52)	APPKMT2ACYP1A2CYP3A4CYP2D6

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 7 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.