SCHEMBL20096493

SCHEMBL20096493

O=C(NO)c1cccc2c1CC1(CCN(c3ccc(C(F)(F)F)cc3)C1=O)C2

nearest known ligand 0.85

Predicted protein targets (top 4)

geneUniProtsupporting neighboursconfidence
HDAC11 Q96DB2 16/20 0.85
LIPE Q05469 2/20 0.43
EBP Q15125 1/20 0.42
HDAC1 Q13547 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
SCHEMBL20096890 0.92 HDAC11 (1.00) HDAC11LIPEEBPHDAC1
SCHEMBL20096630 0.92 HDAC11 (0.86) HDAC11LIPEEBPHDAC1
SCHEMBL20096682 0.90 HDAC11 (1.00) HDAC11
SCHEMBL20096495 0.89 HDAC11 (0.71) HDAC11LIPEEBP
SCHEMBL20096497 0.87 HDAC11 (0.66) HDAC11LIPEEBP
SCHEMBL20096857 0.83 HDAC11 (0.86) HDAC11HDAC1
SCHEMBL20096604 0.83 HDAC11 (0.69) HDAC11
SCHEMBL20096501 0.83 HDAC11 (0.86) HDAC11
SCHEMBL20096629 0.83 HDAC11 (1.00) HDAC11
SCHEMBL20096891 0.80 HDAC11 (0.78) HDAC11LIPEEBP

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11345672-B2 Methods using HDAC11 inhibitors VALO HEALTH, INC. (US) 2022-05-31 US disclosed
US-20190084946-A1 METHODS USING HDAC11 INHIBITORS Valo Health, LLC 2019-03-21 US disclosed
US-20190084945-A1 METHODS USING HDAC11 INHIBITORS VALO HEALTH, INC. 2019-03-21 US disclosed
US-20180127386-A1 METHODS USING HDAC11 INHIBITORS VALO EARLY DISCOVERY, INC. 2018-05-10 US disclosed
WO-2018075959-A1 METHODS USING HDAC11 INHIBITORS FORMA THERAPEUTICS, INC. (US) 2018-04-26 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 (4 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-11345672-B2 Methods using HDAC11 inhibitors HDAC11, HDAC1, HDAC10 HDAC11 1/4885LIPE 3679/4885EBP 2140/4885
US-20180127386-A1 METHODS USING HDAC11 INHIBITORS HDAC11, HDAC1, HDAC10 HDAC11 1/4885LIPE 3679/4885EBP 2140/4885
US-20190084945-A1 METHODS USING HDAC11 INHIBITORS HDAC11, HDAC1, HDAC10 HDAC11 1/4885LIPE 3679/4885EBP 2140/4885
US-20190084946-A1 METHODS USING HDAC11 INHIBITORS HDAC11, HDAC1, HDAC10 HDAC11 1/4885LIPE 3679/4885EBP 2140/4885

“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.