SCHEMBL23268979

SCHEMBL23268979

O=C=Nc1ccc(C2=NN(C(=O)c3ccc(Br)cc3)C(c3ccccc3)C2)cc1

nearest known ligand 0.68

Predicted protein targets (top 4)

geneUniProtsupporting neighboursconfidence
▸ BCL2 P10415 17/20 0.68
▸ CACNA1H O95180 1/20 0.66
▸ BECN1 Q14457 8/20 0.64
▸ ACHE P22303 1/20 0.56

Click a target to see other patent compounds predicted against it — the reverse direction, in place.

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.

Compoundsimilaritytop predictedshared targets
SCHEMBL14541165 0.81 CACNA1H (0.78) BCL2CACNA1HBECN1ACHE
SCHEMBL14541217 0.80 CA1 (0.74) BCL2CACNA1HBECN1ACHE
SCHEMBL2480894 0.78 CA1 (0.75) BCL2CACNA1H
SCHEMBL23269003 0.78 BCL2 (1.00) BCL2CACNA1HBECN1
SCHEMBL23268937 0.78 BCL2 (1.00) BCL2BECN1
SCHEMBL14541167 0.78 CACNA1H (0.70) BCL2CACNA1HBECN1
SCHEMBL23269404 0.77 BCL2 (1.00) BCL2CACNA1HBECN1
SCHEMBL23269400 0.77 BCL2 (0.75) BCL2CACNA1HBECN1
SCHEMBL14541214 0.77 MEN1 (0.76) BCL2CACNA1HBECN1
SCHEMBL27936621 0.77 TERT (0.66) BCL2CACNA1HBECN1

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 3 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20230203020-A1 Small molecule inducers of autophagy BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM (US) 2023-06-29 — — US disclosed
US-11325898-B2 Small molecule inducers of autophagy BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM (US) 2022-05-10 — — US disclosed
US-20210115024-A1 Small molecule inducers of autophagy BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM (US) 2021-04-22 — — US disclosed

Patent text — is the patent's own abstract consistent with the prediction?

For each of this compound's patents that has machine-readable text (3 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.

PatentTitleText reads most aboutPredicted target · text-rank
US-11325898-B2 Small molecule inducers of autophagy BECN1, SQSTM1, MAP1LC3A BCL2 11/4885CACNA1H 3432/4885BECN1 1/4885
US-20210115024-A1 Small molecule inducers of autophagy BECN1, SQSTM1, MAP1LC3A BCL2 11/4885CACNA1H 3432/4885BECN1 1/4885
US-20230203020-A1 Small molecule inducers of autophagy BECN1, SQSTM1, MAP1LC3A BCL2 11/4885CACNA1H 3432/4885BECN1 1/4885

“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.

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