SCHEMBL17854805

SCHEMBL17854805

CN1C(=O)c2ccccc2N(C)c2nc(N(C)c3ccccc3)ncc21

nearest known ligand 0.53

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ MAPK7 Q13164 10/20 0.53
▸ DCLK1 O15075 8/20 0.49
▸ LRRK2 Q5S007 10/20 0.48
▸ PIK3CD O00329 3/20 0.48
▸ AURKA O14965 3/20 0.48
▸ PIK3C2G O75747 3/20 0.48
▸ PIK3CG P48736 3/20 0.48
▸ AURKB Q96GD4 3/20 0.48
▸ MAPT P10636 1/20 0.45
▸ MAPK1 P28482 1/20 0.45
▸ RAB9A P51151 1/20 0.45
▸ TDP1 Q9NUW8 1/20 0.45
▸ L3MBTL1 Q9Y468 1/20 0.45
▸ NUAK1 O60285 2/20 0.43
▸ DRD2 P14416 1/20 0.43
▸ HTR6 P50406 1/20 0.43
▸ BRD4 O60885 2/20 0.42
▸ GAK O14976 1/20 0.41
▸ TNK2 Q07912 1/20 0.41
▸ TNK1 Q13470 1/20 0.41

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
SCHEMBL21143422 0.87 PIK3CG (0.64) MAPK7DCLK1LRRK2PIK3CDAURKA
SCHEMBL20682528 0.79 DCLK1 (0.43) MAPK7DCLK1LRRK2PIK3CDAURKA
SCHEMBL17721092 0.78 MAPK7 (0.57) MAPK7DCLK1LRRK2PIK3CDAURKA
SCHEMBL16974436 0.77 MAPK7 (0.53) MAPK7DCLK1LRRK2NUAK1BRD4
SCHEMBL10098766 0.77 DCLK1 (0.58) MAPK7DCLK1LRRK2PIK3CDAURKA
SCHEMBL10098691 0.77 MAPK7 (0.56) MAPK7DCLK1LRRK2PIK3CDAURKA
SCHEMBL17519893 0.74 DCLK1 (0.78) MAPK7DCLK1LRRK2PIK3CDAURKA
SCHEMBL21143418 0.73 BRD4 (0.47) MAPK7DCLK1LRRK2NUAK1BRD4
SCHEMBL22663688 0.72 LRRK2 (0.68) MAPK7DCLK1LRRK2BRD4GAK
SCHEMBL24334048 0.71 LRRK2 (0.61) MAPK7DCLK1LRRK2BRD4GAK

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20180134684-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES DANA-FARBER CANCER INSTITUTE, INC. (US) 2018-05-17 — — US disclosed
US-20180085465-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES NATIONAL INSTITUTES OF HEALTH - DIRECTOR DEITR 2018-03-29 — — US disclosed
US-20180009779-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES DANA-FARBER CANCER INSTITUTE, INC. (US) 2018-01-11 — — US disclosed
US-9821068-B2 Methods to induce targeted protein degradation through bifunctional molecules DANA-FARBER CANCER INSTITUTE, INC. (US) 2017-11-21 — — US disclosed
US-9770512-B2 Methods to induce targeted protein degradation through bifunctional molecules DANA-FARBER CANCER INSTITUTE, INC. (US) 2017-09-26 — — US disclosed
US-9750816-B2 Methods to induce targeted protein degradation through bifunctional molecules DANA-FARBER CANCER INSTITUTE, INC. (US) 2017-09-05 — — US disclosed
US-9694084-B2 Methods to induce targeted protein degradation through bifunctional molecules DANA-FARBER CANCER INSTITUTE, INC. (US) 2017-07-04 — — US disclosed
US-20160243247-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES DANA-FARBER CANCER INSTITUTE, INC. 2016-08-25 — — US disclosed
US-20160235730-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES DANA-FARBER CANCER INSTITUTE, INC. 2016-08-18 — — US disclosed
US-20160235731-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES DANA-FARBER CANCER INSTITUTE, INC. 2016-08-18 — — US disclosed
US-20160176916-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2016-06-23 — — 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 (7 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-20160243247-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885
US-20180009779-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885
US-20160235731-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885
US-20160235730-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885
US-20180085465-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885
US-20180134684-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885
US-20160176916-A1 METHODS TO INDUCE TARGETED PROTEIN DEGRADATION THROUGH BIFUNCTIONAL MOLECULES CRBN, MDM2, MYCBP MAPK7 3496/4885DCLK1 1829/4885LRRK2 1253/4885

“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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