SCHEMBL16307679

SCHEMBL16307679

Cc1cc2cc([N+](=O)[O-])ccc2cn1

nearest known ligand 0.55

Predicted protein targets (top 18)

geneUniProtsupporting neighboursconfidence
CYP1A2 P05177 1/20 0.48
CYP2A6 P11509 1/20 0.48
MAPT P10636 7/20 0.47
ALDH1A1 P00352 5/20 0.47
TDP1 Q9NUW8 2/20 0.47
TSHR P16473 2/20 0.47
CYP3A4 P08684 3/20 0.46
LMNA P02545 3/20 0.46
NOS1 P29475 2/20 0.46
ALOX15 P16050 1/20 0.46
POLB P06746 1/20 0.46
MAOB P27338 1/20 0.46
HTT P42858 4/20 0.46
SMN1; SMN2 Q16637 2/20 0.46
MEN1 O00255 2/20 0.46
KMT2A Q03164 2/20 0.46
ACHE P22303 1/20 0.42
HSD17B10 Q99714 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
SCHEMBL16307680 0.93 CYP1A2 (0.48) CYP1A2CYP2A6MAPTALDH1A1TDP1
SCHEMBL28030111 0.79 HSD17B10 (0.47) CYP1A2MAPTALDH1A1TDP1TSHR
SCHEMBL28030557 0.79 MAPT (0.46) CYP1A2MAPTALDH1A1TDP1TSHR
SCHEMBL3829978 0.77 TSHR (0.56) MAPTALDH1A1TDP1TSHRCYP3A4
SCHEMBL14010958 0.76 MAPT (0.53) MAPTALDH1A1TDP1TSHRCYP3A4
SCHEMBL30095409 0.76 MAPT (0.53) MAPTALDH1A1TDP1TSHRCYP3A4
SCHEMBL28338203 0.75 TSHR (0.54) MAPTALDH1A1TDP1TSHRCYP3A4
SCHEMBL4535746 0.75 SMN1; SMN2 (0.50) CYP1A2MAPTALDH1A1TDP1TSHR
SCHEMBL31155580 0.75 SMN1; SMN2 (0.50) CYP1A2MAPTALDH1A1TDP1TSHR
SCHEMBL3190873 0.75 MAPT (0.50) CYP1A2MAPTALDH1A1TDP1TSHR

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-8980908-B2 Non-peptidyl, potent, and selective mu opioid receptor antagonists and their use in treating opioid addiction and opioid induced constipation VIRGINIA COMMONWEALTH UNIVERSITY (US) 2015-03-17 US disclosed
US-8980908-B2 Non-peptidyl, potent, and selective mu opioid receptor antagonists and their use in treating opioid addiction and opioid induced constipation VIRGINIA COMMONWEALTH UNIVERSITY (US) 2015-03-17 US disclosed
US-20140371255-A1 NON-PEPTIDYL, POTENT, AND SELECTIVE MU OPIOID RECEPTOR ANTAGONISTS AND THEIR USE IN TREATING OPIOID ADDICTION AND OPIOID INDUCED CONSTIPATION VIRGINIA COMMONWEALTH UNIVERSITY (US) 2014-12-18 US disclosed
US-20140371255-A1 NON-PEPTIDYL, POTENT, AND SELECTIVE MU OPIOID RECEPTOR ANTAGONISTS AND THEIR USE IN TREATING OPIOID ADDICTION AND OPIOID INDUCED CONSTIPATION VIRGINIA COMMONWEALTH UNIVERSITY (US) 2014-12-18 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-20140371255-A1 NON-PEPTIDYL, POTENT, AND SELECTIVE MU OPIOID RECEPTOR ANTAGONISTS AND THEIR USE IN TREATING OPIOID ADDICTION AND OPIOID INDUCED CONSTIPATION OPRM1, OPRK1, OPRL1 CYP1A2 1578/4885CYP2A6 1995/4885MAPT 2460/4885

“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.