SCHEMBL31388488

SCHEMBL31388488

Cc1cc(NC(=O)NC(=O)C2CCCC2)ccc1Oc1ncc(Cl)cn1

nearest known ligand 0.48

Predicted protein targets (top 7)

geneUniProtsupporting neighboursconfidence
KDR P35968 16/20 0.48
BRAF P15056 9/20 0.48
NPC1 O15118 2/20 0.47
RAB9A P51151 2/20 0.47
CYP1A2 P05177 1/20 0.42
CYP3A4 P08684 1/20 0.42
CYP2C19 P33261 1/20 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
SCHEMBL31388467 0.99 KDR (0.47) KDRBRAFNPC1RAB9A
SCHEMBL31388465 0.92 KDR (0.49) KDRBRAFCYP1A2CYP3A4CYP2C19
SCHEMBL31388477 0.91 KDR (0.46) KDRBRAF
SCHEMBL25421663 0.90 KDR (0.49) KDRBRAF
SCHEMBL31388507 0.89 KDR (0.43) KDRBRAFCYP1A2CYP3A4CYP2C19
SCHEMBL31388469 0.88 CSF1R (0.45) KDRBRAF
SCHEMBL25277842 0.87 KDR (0.42) KDRBRAFCYP1A2CYP3A4CYP2C19
SCHEMBL31388492 0.87 KDR (0.50) KDRBRAF
SCHEMBL31388494 0.86 KDR (0.46) KDRBRAF
SCHEMBL31388485 0.86 KDR (0.46) KDRBRAF

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
EP-4448492-B1 COMPOSITIONS AND METHODS OF MAKING AND USING SMALL MOLECULES IN THE TREATMENT OF CANCER REGLAGENE INC (US) 2026-03-04 EP disclosed
US-12404242-B2 Compositions and methods for making and using small molecules in the treatment of cancer REGLAGENE, INC. (US) 2025-09-02 US disclosed
US-20250109105-A1 COMPOSITIONS AND METHODS FOR MAKING AND USING SMALL MOLECULES IN THE TREATMENT OF CANCER REGLAGENE, INC. 2025-04-03 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 (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-20250109105-A1 COMPOSITIONS AND METHODS FOR MAKING AND USING SMALL MOLECULES IN THE TREATMENT OF CANCER CD47, RB1, TP53 KDR 3225/4885BRAF 107/4885NPC1 3779/4885
US-12404242-B2 Compositions and methods for making and using small molecules in the treatment of cancer CD47, RB1, TP53 KDR 3225/4885BRAF 107/4885NPC1 3779/4885

“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.