SCHEMBL17469733

SCHEMBL17469733

N/C(=N\O)c1ccc(/C=C/c2c(N)ncc3ccccc23)cc1

nearest known ligand 0.48

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
KDM1A O60341 17/20 0.48
FLT3 P36888 2/20 0.42

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
SCHEMBL17469804 1.00 KDM1A (0.48) KDM1AFLT3
SCHEMBL17469736 0.78 ALDH1A1 (0.43)
SCHEMBL18983193 0.78 ALDH1A1 (0.43)
SCHEMBL17469737 0.76 FLT3 (0.46) KDM1AFLT3
SCHEMBL19006335 0.75 FLT3 (0.46) KDM1AFLT3
SCHEMBL17469805 0.72 FLT3 (0.71) KDM1AFLT3
SCHEMBL19413618 0.70 KDM4E (0.40)
SCHEMBL17469785 0.67 MEN1 (0.41) FLT3
SCHEMBL18673631 0.67 ERN1 (0.46)
SCHEMBL17469806 0.66 MAP4K4 (0.45) FLT3

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-20190209548-A1 LINKED DIARYL COMPOUNDS WITH ANTICANCER PROPERTIES AND METHODS OF USING THE SAME UNIVERSITY OF MARYLAND, BALTIMORE 2019-07-11 US disclosed
US-20170174620-A1 LINKED DIARYL COMPOUNDS WITH ANTICANCER PROPERTIES AND METHODS OF USING THE SAME UNIVERSITY OF MARYLAND, COLLEGE PARK 2017-06-22 US disclosed
US-20170174620-A1 LINKED DIARYL COMPOUNDS WITH ANTICANCER PROPERTIES AND METHODS OF USING THE SAME UNIVERSITY OF MARYLAND, COLLEGE PARK 2017-06-22 US disclosed
WO-2016014674-A1 LINKED DIARYL COMPOUNDS WITH ANTICANCER PROPERTIES AND METHODS OF USING THE SAME UNIVERSITY OF MARYLAND, COLLEGE PARK (US) 2016-01-28 WO 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 (2 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-20170174620-A1 LINKED DIARYL COMPOUNDS WITH ANTICANCER PROPERTIES AND METHODS OF USING THE SAME MCL1, DPYD, TOP2B KDM1A 1807/4885FLT3 2354/4885
US-20190209548-A1 LINKED DIARYL COMPOUNDS WITH ANTICANCER PROPERTIES AND METHODS OF USING THE SAME MCL1, DPYD, TOP2B KDM1A 1807/4885FLT3 2354/4885

“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.