SCHEMBL23386958

SCHEMBL23386958

Cn1cc(Cn2nnc3ccccc32)nn1

nearest known ligand 0.57

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ SLC9A1 P19634 10/20 0.57
▸ GRM2 Q14416 2/20 0.57
▸ TDP1 Q9NUW8 1/20 0.53
▸ KCNMA1 Q12791 1/20 0.51
▸ NPC1 O15118 1/20 0.50
▸ MAPT P10636 1/20 0.50
▸ RAB9A P51151 1/20 0.50
▸ AURKA O14965 1/20 0.49
▸ CDK1 P06493 1/20 0.49
▸ PRKACA P17612 1/20 0.49
▸ CDK2 P24941 1/20 0.49
▸ MARK3 P27448 1/20 0.49
▸ MAPK1 P28482 1/20 0.49
▸ GSK3A P49840 1/20 0.49
▸ RPS6KA3 P51812 1/20 0.49
▸ LIMK1 P53667 1/20 0.49
▸ CDK5 Q00535 1/20 0.49
▸ PRKCD Q05655 1/20 0.49
▸ PRKAA1 Q13131 1/20 0.49
▸ ROCK1 Q13464 1/20 0.49

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
SCHEMBL19387184 0.82 SLC9A1 (0.63) SLC9A1GRM2TDP1KCNMA1
SCHEMBL16264701 0.82 SLC9A1 (0.61) SLC9A1GRM2TDP1KCNMA1AURKA
SCHEMBL25868683 0.81 SLC9A1 (0.53) SLC9A1GRM2TDP1KCNMA1NPC1
SCHEMBL14987522 0.79 SLC9A1 (0.54) SLC9A1GRM2TDP1KCNMA1AURKA
SCHEMBL16263162 0.79 SLC9A1 (0.50) SLC9A1GRM2TDP1KCNMA1AURKA
SCHEMBL18625955 0.79 SLC9A1 (0.50) SLC9A1GRM2TDP1KCNMA1AURKA
SCHEMBL1312086 0.74 SLC9A1 (0.55) SLC9A1GRM2TDP1KCNMA1NPC1
SCHEMBL283896 0.73 SLC9A1 (1.00) SLC9A1GRM2NPC1MAPTRAB9A
SCHEMBL2734889 0.73 GRM2 (1.00) SLC9A1GRM2TDP1KCNMA1NPC1
SCHEMBL14796568 0.72 SLC9A1 (0.79) SLC9A1GRM2TDP1NPC1MAPT

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-11767301-B2 Bi-functional molecules to degrade circulating proteins YALE UNIVERSITY (US) 2023-09-26 — — US disclosed
US-20230233689-A1 Bifunctional Small Molecules to Target the Selective Degradation of Circulating Proteins UNIV YALE (US) 2023-07-27 — — US disclosed
US-20210145974-A1 Bifunctional Small Molecules to Target the Selective Degradation of Circulating Proteins YALE UNIVERSITY 2021-05-20 — — 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-11767301-B2 Bi-functional molecules to degrade circulating proteins MIF, ASGR1, FCGR2A SLC9A1 4439/4885GRM2 2062/4885TDP1 4721/4885
US-20230233689-A1 Bifunctional Small Molecules to Target the Selective Degradation of Circulating Proteins ASGR1, LDLR, FCGR2A SLC9A1 4788/4885GRM2 579/4885TDP1 4559/4885
US-20210145974-A1 Bifunctional Small Molecules to Target the Selective Degradation of Circulating Proteins ASGR1, LDLR, FCGR3B SLC9A1 4541/4885GRM2 435/4885TDP1 4559/4885

“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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