Piconol

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
	Piconol SCHEMBL27593270	0.86	HRH1 (0.54)	TDP1SMN1; SMN2MAPTLIN28AHRH3
	Piconol SCHEMBL7931111	0.86	HRH3 (0.48)	TDP1SMN1; SMN2MAPTLIN28AHRH3
	Piconol SCHEMBL31122945	0.86	—	—
	Piconol SCHEMBL2647157	0.86	—	—
	Piconol SCHEMBL29266	0.84	—	—
	Piconol SCHEMBL29530498	0.84	—	—
	Piconol SCHEMBL2909774	0.82	HRH1 (0.48)	TDP1SMN1; SMN2MAPTLIN28AHRH3
	Piconol SCHEMBL7153449	0.82	—	—
	Piconol SCHEMBL15050907	0.82	—	—
	Piconol SCHEMBL3074525	0.82	—	—

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 4 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.