SCHEMBL26318922

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
	SCHEMBL24711284	0.82	—	—
	SCHEMBL3312974	0.81	CA2 (0.46)	DNM1CA2CA1CA9CA12
	SCHEMBL11036549	0.79	TP53 (0.42)	DNM1CA2CA1CA9CA12
	SCHEMBL8632146	0.77	—	—
	SCHEMBL7160479	0.73	DNM1 (0.46)	DNM1CA2CA1CA9CA12
	SCHEMBL2127290	0.73	DNM1 (0.46)	DNM1CA2CA1CA9CA12
	SCHEMBL12967466	0.73	DNM1 (0.46)	DNM1CA1FAAH
	SCHEMBL7553791	0.73	DNM1 (0.46)	DNM1CA2CA1CA9CA12
	SCHEMBL12669289	0.73	DNM1 (0.46)	DNM1CA2CA1CA9CA12
	SCHEMBL5454493	0.73	DNM1 (0.46)	DNM1CA2CA1CA9CA12

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 1 patent. 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.