SCHEMBL23150405

SCHEMBL23150405

COc1ccc2c3ccnc(C)c3n(CC(=O)OC(C)(C)C)c2c1

nearest known ligand 0.80

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
▸ DYRK1A Q13627 19/20 0.80
▸ ACHE P22303 1/20 0.60

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
SCHEMBL23150387 0.90 DYRK1A (0.81) DYRK1A
SCHEMBL23150317 0.89 DYRK1A (1.00) DYRK1AACHE
SCHEMBL23150337 0.88 DYRK1A (0.81) DYRK1A
SCHEMBL23150419 0.87 DYRK1A (0.82) DYRK1A
SCHEMBL23150381 0.86 DYRK1A (0.82) DYRK1A
SCHEMBL23150380 0.85 DYRK1A (0.81) DYRK1AACHE
SCHEMBL23150383 0.84 DYRK1A (0.80) DYRK1AACHE
SCHEMBL29424333 0.82 DYRK1A (0.70) DYRK1A
SCHEMBL15241459 0.81 DYRK1A (1.00) DYRK1A
SCHEMBL16421934 0.81 DYRK1A (0.61) DYRK1A

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.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20240132494-A1 KINASE INHIBITOR COMPOUNDS AND COMPOSITIONS AND METHODS OF USE ICAHN SCHOOL MED MOUNT SINAI (US) 2024-04-25 — — US disclosed
US-11866427-B2 Kinase inhibitor compounds and compositions and methods of use ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI (US) 2024-01-09 — — US disclosed
US-20210094950-A1 KINASE INHIBITOR COMPOUNDS AND COMPOSITIONS AND METHODS OF USE NATIONAL INSTITUTES OF HEALTH 2021-04-01 — — US disclosed
CN-112135613-A Kinase inhibitor compounds and compositions and methods of use 西奈山伊坎医学院 2020-12-25 — — CN 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-20240132494-A1 KINASE INHIBITOR COMPOUNDS AND COMPOSITIONS AND METHODS OF USE CSNK1A1, DYRK1A, CSNK1G3 DYRK1A 2/4885ACHE 745/4885
US-11866427-B2 Kinase inhibitor compounds and compositions and methods of use CSNK1A1, CSNK1E, CSNK1G3 DYRK1A 7/4885ACHE 831/4885
US-20210094950-A1 KINASE INHIBITOR COMPOUNDS AND COMPOSITIONS AND METHODS OF USE CSNK1A1, CSNK1E, CSNK1G3 DYRK1A 7/4885ACHE 831/4885

“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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