SCHEMBL22014376

SCHEMBL22014376

O=C(/C=C/c1ccccc1)c1cnccn1

nearest known ligand 0.69

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
MAPT P10636 6/20 0.69
KDM4E B2RXH2 5/20 0.69
NPC1 O15118 4/20 0.69
RAB9A P51151 4/20 0.69
LMNA P02545 2/20 0.69
PKM P14618 2/20 0.69
P4HB P07237 1/20 0.65
CYP1B1 Q16678 3/20 0.65
CYP1A1 P04798 2/20 0.65
CYP1A2 P05177 2/20 0.65
CYP3A4 P08684 2/20 0.65
CYP2D6 P10635 1/20 0.65
SMN1; SMN2 Q16637 2/20 0.61
HTT P42858 2/20 0.57
HSP90AA1 P07900 1/20 0.57
TDP1 Q9NUW8 1/20 0.57
PLIN1 O60240 1/20 0.56
BCHE P06276 1/20 0.56
TNFRSF1A P19438 1/20 0.56
ACHE P22303 1/20 0.56

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
SCHEMBL10567185 1.00 MAPT (0.69) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL10376888 0.83 HSP90AA1 (0.55) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL10376889 0.83 HSP90AA1 (0.55) MAPTKDM4ENPC1RAB9ALMNA
Pyrazinamide SCHEMBL28973464 0.82 ADORA3 (0.60) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL977480 0.81 MAPT (1.00) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL4400320 0.81 MAPT (1.00) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL3595621 0.80 BCHE (0.54) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL3595625 0.80 BCHE (0.54) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL13381516 0.80 KDM4E (0.78) MAPTKDM4ENPC1RAB9ALMNA
SCHEMBL979408 0.79 CYP1B1 (1.00) MAPTLMNACYP1B1CYP1A1CYP1A2

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-12016312-B2 Animal models, screening methods, and treatment methods for intraocular diseases or disorders Smilebiotek Zhuhai Limited (CN) 2024-06-25 US disclosed
US-12016312-B2 Animal models, screening methods, and treatment methods for intraocular diseases or disorders Smilebiotek Zhuhai Limited (CN) 2024-06-25 US disclosed
US-20220015338-A1 ANIMAL MODELS, SCREENING METHODS, AND TREATMENT METHODS FOR INTRAOCULAR DISEASES OR DISORDERS Smilebiotek Zhuhai Limited (CN) 2022-01-20 US disclosed
US-20220016146-A1 METHOD OF TREATING AGE-RELATED MACULAR DEGENERATION Smilebiotek Zhuhai Limited (CN) 2022-01-20 US disclosed
WO-2020113373-A1 METHOD OF TREATING AGE-RELATED MACULAR DEGENERATION ZHUHAI QIWEI BIO-TECHNOLOGY LTD. (CN) 2020-06-11 WO disclosed
WO-2020113759-A1 METHOD OF TREATING AGE-RELATED MACULAR DEGENERATION ZHUHAI QIWEI BIO-TECHNOLOGY LTD. (CN) 2020-06-11 WO disclosed
WO-2020098630-A1 ANIMAL MODELS, SCREENING METHODS, AND TREATMENT METHODS FOR INTRAOCULAR DISEASES OR DISORDERS ZHUHAI QIWEI BIO-TECHNOLOGY LTD. (CN) 2020-05-22 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 (3 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-20220016146-A1 METHOD OF TREATING AGE-RELATED MACULAR DEGENERATION AGER, CASP3, PDE6D MAPT 1668/4885KDM4E 4518/4885NPC1 1402/4885
US-12016312-B2 Animal models, screening methods, and treatment methods for intraocular diseases or disorders MB, MYOC, PDE6A MAPT 2250/4885KDM4E 4670/4885NPC1 782/4885
US-20220015338-A1 ANIMAL MODELS, SCREENING METHODS, AND TREATMENT METHODS FOR INTRAOCULAR DISEASES OR DISORDERS MB, MYOC, PDE6A MAPT 2250/4885KDM4E 4670/4885NPC1 782/4885

“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.