SCHEMBL4174256

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
	SCHEMBL5162327	0.87	AR (0.71)	ARNCOA1NCOA3SCN9AFNTA
	SCHEMBL30125711	0.87	AR (0.71)	ARNCOA1NCOA3SCN9AFNTA
	SCHEMBL753907	0.83	AR (0.75)	ARSLC22A12LMNAADRB2SMN1; SMN2
	SCHEMBL13890551	0.83	AR (0.75)	ARSLC22A12
	SCHEMBL4184922	0.80	AR (0.65)	ARSLC22A12
	SCHEMBL4166434	0.80	AR (1.00)	AR
	SCHEMBL4178023	0.79	AR (0.74)	ARSLC22A12
	SCHEMBL4175953	0.79	AR (1.00)	ARSLC22A12
	SCHEMBL28984276	0.78	AR (0.56)	ARSLC22A12
	SCHEMBL27376756	0.77	AR (0.61)	ARSLC22A12

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 8 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.