SCHEMBL3451682

SCHEMBL3451682

Fc1ccc(Nc2nccc(NC3CCOC3)n2)cc1Cl

nearest known ligand 0.47

Predicted protein targets (top 18)

geneUniProtsupporting neighboursconfidence
IDH1 O75874 1/20 0.47
MAPK1 P28482 6/20 0.45
CDK2 P24941 8/20 0.44
MAPKAPK2 P49137 5/20 0.44
ROCK2 O75116 1/20 0.44
MAPK9 P45984 1/20 0.44
GSK3B P49841 1/20 0.44
MAP2K1 Q02750 1/20 0.44
MAPKAPK5 Q8IW41 1/20 0.44
CDC7 O00311 2/20 0.44
WEE1 P30291 1/20 0.44
CCNA2 P20248 5/20 0.42
MAPK3 P27361 5/20 0.42
KCNH2 Q12809 1/20 0.41
AURKB Q96GD4 2/20 0.41
EGFR P00533 2/20 0.41
AURKA O14965 1/20 0.40
APP P05067 1/20 0.40

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
SCHEMBL3450155 0.81 SELP (0.48) MAPK1CDK2MAPKAPK2EGFR
SCHEMBL3447819 0.81 SELP (0.48) MAPK1CDK2MAPKAPK2EGFR
SCHEMBL3449528 0.81 SELP (0.48) MAPK1CDK2MAPKAPK2EGFR
SCHEMBL657412 0.79 MAPK1 (0.62) MAPK1CDK2EGFRAURKAAPP
SCHEMBL4621510 0.75 MAPK1 (0.61) MAPK1EGFRAPP
SCHEMBL3214863 0.74 PLK4 (0.69) AURKBAURKA
SCHEMBL3197568 0.74 MAPK1 (0.73) MAPK1CDK2EGFRAURKAAPP
SCHEMBL1391901 0.74 APP (0.58) MAPK1CDK2MAPKAPK2ROCK2MAPK9
SCHEMBL3451208 0.74 EGFR (0.44) EGFR
SCHEMBL3447987 0.74 EGFR (0.44) EGFR

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20100137313-A1 HETEROCYCLIC DERIVATIVES AND METHODS OF USE THEREOF ASTRAZENECA AB 2010-06-03 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 (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.

PatentTitleText reads most aboutPredicted target · text-rank
US-20100137313-A1 HETEROCYCLIC DERIVATIVES AND METHODS OF USE THEREOF SDHA, SDHB, UROD IDH1 718/4885MAPK1 2905/4885CDK2 2258/4885

“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.