SCHEMBL22457522

SCHEMBL22457522

CN(C(=O)OC(C)(C)C)[C@@H](Cc1ccccc1)C(=O)N(C)[C@@H](Cc1ccccc1)C(=O)N1CCC[C@H]1C(=O)O

nearest known ligand 0.51

Predicted protein targets (top 5)

geneUniProtsupporting neighboursconfidence
ACE P12821 13/20 0.51
LTA4H P09960 5/20 0.48
CMA1 P23946 1/20 0.47
LMNA P02545 1/20 0.45
ACE2 Q9BYF1 4/20 0.44

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
SCHEMBL22457757 0.96 ACE (0.55) ACELTA4HCMA1LMNAACE2
SCHEMBL6438312 0.96 ACE (0.55) ACELTA4HCMA1LMNAACE2
SCHEMBL7377534 0.93 LTA4H (0.52) ACELTA4HCMA1LMNAACE2
SCHEMBL22457523 0.89 KLK5 (0.44) ACECMA1
SCHEMBL28510339 0.87 ACE (0.58) ACELMNA
SCHEMBL28510341 0.87 ACE (0.58) ACELMNA
SCHEMBL28510337 0.87 ACE (0.58) ACELMNA
SCHEMBL8706477 0.85 ACE (0.67) ACECMA1ACE2
SCHEMBL22457752 0.85 KLK5 (0.47) ACELTA4HCMA1
SCHEMBL24435890 0.84 ACE (0.60) ACECMA1ACE2

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-12240871-B2 Method for producing peptide compound NISSAN CHEMICAL CORPORATION (JP) 2025-03-04 US disclosed
US-20220153777-A1 METHOD FOR PRODUCING PEPTIDE COMPOUND NISSAN CHEMICAL CORPORATION (JP) 2022-05-19 US disclosed
US-20220153777-A1 METHOD FOR PRODUCING PEPTIDE COMPOUND NISSAN CHEMICAL CORPORATION (JP) 2022-05-19 US disclosed
WO-2020189621-A1 METHOD FOR PRODUCING PEPTIDE COMPOUND 日産化学株式会社 2020-09-24 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 (2 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-12240871-B2 Method for producing peptide compound NGLY1, NPPA, NPEPPS ACE 982/4885LTA4H 1599/4885CMA1 550/4885
US-20220153777-A1 METHOD FOR PRODUCING PEPTIDE COMPOUND NGLY1, NPPA, NPEPPS ACE 982/4885LTA4H 1599/4885CMA1 550/4885

“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.