SCHEMBL2601960

SCHEMBL2601960

COc1cc(C(=O)c2cc(OC)c(OC)cc2N)c(N)cc1C

nearest known ligand 0.61

Predicted protein targets (top 18)

geneUniProtsupporting neighboursconfidence
KDM4E B2RXH2 2/20 0.61
LMNA P02545 3/20 0.43
HTT P42858 2/20 0.43
ALDH1A1 P00352 2/20 0.43
L3MBTL1 Q9Y468 1/20 0.43
GAA P10253 1/20 0.42
CYP3A4 P08684 2/20 0.42
LCK P06239 1/20 0.41
FYN P06241 1/20 0.41
POLB P06746 1/20 0.40
CYP1A2 P05177 1/20 0.39
CYP2C9 P11712 1/20 0.39
TSHR P16473 1/20 0.39
CYP2C19 P33261 1/20 0.39
HMGCR P04035 1/20 0.39
ALOX15 P16050 1/20 0.38
HSD17B10 Q99714 1/20 0.38
MYC P01106 1/20 0.38

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
SCHEMBL2605631 0.91 KDM4E (0.71) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL3125277 0.84 KDM4E (0.53) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL3899027 0.82 KDM4E (0.77) KDM4EHTTALDH1A1GAAPOLB
SCHEMBL3818697 0.81 KDM4E (0.59) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL29918238 0.80 KDM4E (0.53) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL10520470 0.80 KDM4E (0.53) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL3549850 0.80 KDM4E (0.53) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL7019995 0.80 KDM4E (0.53) KDM4ELMNAHTTALDH1A1L3MBTL1
SCHEMBL3824758 0.80 RECQL (0.54) KDM4ELMNAALDH1A1L3MBTL1GAA
SCHEMBL5361341 0.79 KDM4E (0.49) KDM4ELMNAHTTALDH1A1L3MBTL1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-9051253-B2 Compounds, compositions and methods for the treatment of amyloid diseases and synucleinopathies such as alzheimer's disease, type 2 diabetes, and parkinson's PROTEOTECH INC. (US) 2015-06-09 US disclosed
US-8895554-B2 Compounds, compositions and methods for the treatment of amyloid diseases and synucleinopathies such as Alzheimer's disease, type 2 diabetes, and Parkinson's disease PROTEOTECH INC (US) 2014-11-25 US disclosed
US-20140038980-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR THE TREATMENT OF AMYLOID DISEASES AND SYNUCLEINOPATHIES SUCH AS ALZHEIMER'S DISEASE, TYPE 2 DIABETES, AND PARKINSON'S DISEASE PROTAMED, INC. 2014-02-06 US disclosed
US-8586585-B2 Compounds, compositions and methods for the treatment of amyloid diseases and synucleinopathies such as Alzheimer's disease, type 2 diabetes and Parkinson's disease PROTEOTECH, INC. (US) 2013-11-19 US disclosed
US-20130245128-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR THE TREATMENT OF AMYLOID DISEASES AND SYNUCLEINOPATHIES SUCH AS ALZHEIMER'S DISEASE, TYPE 2 DIABETES, AND PARKINSON'S DISEASE PROTAMED, INC. 2013-09-19 US disclosed
US-20120225890-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR THE TREATMENT OF AMYLOID DISEASES AND SYNUCLEINOPATHIES SUCH AS ALZHEIMER'S DISEASE, TYPE 2 DIABETES AND PARKINSON'S DISEASE PROTAMED, INC. 2012-09-06 US disclosed
US-8163957-B2 Compounds, compositions and methods for the treatment of amyloid diseases and synucleinopathies such as alzheimer's disease, type 2 diabetes and parkinson's disease PROTEOTECH, INC. (US) 2012-04-24 US disclosed
US-20110172239-A1 Compounds, Compositions and Methods for the Treatment of Amyloid Diseases and Synucleinopathies such as Alzheimer's Disease, Type 2 Diabetes and Parkinson's Disease PROTAMED, INC. 2011-07-14 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 (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-20120225890-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR THE TREATMENT OF AMYLOID DISEASES AND SYNUCLEINOPATHIES SUCH AS ALZHEIMER'S DISEASE, TYPE 2 DIABETES AND PARKINSON'S DISEASE IAPP, SNCA, APP KDM4E 3701/4885LMNA 1113/4885HTT 22/4885
US-20140038980-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR THE TREATMENT OF AMYLOID DISEASES AND SYNUCLEINOPATHIES SUCH AS ALZHEIMER'S DISEASE, TYPE 2 DIABETES, AND PARKINSON'S DISEASE IAPP, SNCA, APP KDM4E 3994/4885LMNA 952/4885HTT 19/4885
US-20130245128-A1 COMPOUNDS, COMPOSITIONS AND METHODS FOR THE TREATMENT OF AMYLOID DISEASES AND SYNUCLEINOPATHIES SUCH AS ALZHEIMER'S DISEASE, TYPE 2 DIABETES, AND PARKINSON'S DISEASE IAPP, SNCA, APP KDM4E 4065/4885LMNA 947/4885HTT 18/4885
US-20110172239-A1 Compounds, Compositions and Methods for the Treatment of Amyloid Diseases and Synucleinopathies such as Alzheimer's Disease, Type 2 Diabetes and Parkinson's Disease IAPP, SNCA, APP KDM4E 3701/4885LMNA 1113/4885HTT 22/4885

“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.