Pd-156707

Pd-156707

SCHEMBL30708648

COc1ccc(C2(O)OC(=O)C(c3ccc4c(c3)OCO4)=C2Cc2cc(OC)c(OC)c(OC)c2)cc1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Full drug profile on Sugi Atlas →

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
EDNRA P25101 15/20 1.00
EDNRB P24530 13/20 1.00

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
Pd-156707 SCHEMBL4178950 1.00 EDNRA (1.00) EDNRAEDNRB
SCHEMBL8037823 0.94 EDNRA (0.89) EDNRAEDNRB
SCHEMBL8031633 0.93 EDNRA (0.86) EDNRAEDNRB
SCHEMBL8031720 0.93 EDNRA (1.00) EDNRAEDNRB
SCHEMBL8035530 0.92 EDNRA (0.85) EDNRAEDNRB
SCHEMBL8035497 0.92 EDNRA (0.84) EDNRAEDNRB
SCHEMBL7956457 0.91 EDNRA (1.00) EDNRAEDNRB
SCHEMBL8033478 0.91 EDNRA (1.00) EDNRAEDNRB
SCHEMBL8021940 0.91 EDNRA (0.84) EDNRAEDNRB
SCHEMBL8035371 0.91 EDNRA (0.91) EDNRAEDNRB

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3643309-B1 NINTEDANIB FOR USE IN THE TREATMENT OF SYSTEMIC SCLERODERMA BOEHRINGER INGELHEIM INT (DE) 2025-12-03 EP disclosed
US-20230372297-A1 MEDICAMENTS FOR THE TREATMENT OR PREVENTION OF FIBROTIC DISEASES BOEHRINGER INGELHEIM INT (DE) 2023-11-23 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-20230372297-A1 MEDICAMENTS FOR THE TREATMENT OR PREVENTION OF FIBROTIC DISEASES MMP1, COL1A1, SMAD3 EDNRA 41/4885EDNRB 82/4885

“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.