SCHEMBL24257555

SCHEMBL24257555

Cc1c(-c2cn(-c3ccccc3)nn2)cnc(C(=O)NCC(=O)O)c1O

nearest known ligand 0.66

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
EGLN1 Q9GZT9 20/20 0.66

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
SCHEMBL24257559 0.91 EGLN1 (0.59) EGLN1
SCHEMBL24257715 0.89 EGLN1 (0.53) EGLN1
SCHEMBL30453229 0.82 EGLN1 (0.51) EGLN1
SCHEMBL24257610 0.82 EGLN1 (0.51) EGLN1
SCHEMBL30453755 0.82 EGLN1 (0.49) EGLN1
SCHEMBL24257796 0.80 EGLN1 (0.47) EGLN1
SCHEMBL24257468 0.80 EGLN1 (0.48) EGLN1
SCHEMBL24257547 0.79 EGLN2 (0.50) EGLN1
SCHEMBL30546844 0.79 EGLN2 (0.50) EGLN1
SCHEMBL25931312 0.79 EGLN1 (1.00) EGLN1

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-20230295110-A1 PHD INHIBITOR COMPOUNDS, COMPOSITIONS, AND METHODS OF USE AKEBIA THERAPEUTICS, INC. (US) 2023-09-21 US disclosed
US-20230295110-A1 PHD INHIBITOR COMPOUNDS, COMPOSITIONS, AND METHODS OF USE AKEBIA THERAPEUTICS, INC. (US) 2023-09-21 US disclosed
CN-116670131-A PHD inhibitor compounds, compositions, and methods of use 阿克比治疗有限公司 2023-08-29 CN disclosed
WO-2022036188-A1 PHD INHIBITOR COMPOUNDS, COMPOSITIONS, AND METHODS OF USE AKEBIA THERAPEUTICS, INC. (US) 2022-02-17 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 (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-20230295110-A1 PHD INHIBITOR COMPOUNDS, COMPOSITIONS, AND METHODS OF USE HIF1AN, EGLN3, PHF20 EGLN1 19/4885

“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.