SCHEMBL29778186

SCHEMBL29778186

CC[C@H](C)[C@H](NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@@H](NC(=O)[C@H](CCCNC(=N)N)NC(=O)[C@@H](N)CC(=O)O)C(C)C)C(=O)N[C@@H](Cc1cnc[nH]1)C(=O)N1CCC[C@H]1C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](Cc1cnc[nH]1)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(C)C)C(=O)N[C@H](C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CO)C(=O)O)C(C)C

nearest known ligand 0.77

Predicted protein targets (top 8)

geneUniProtsupporting neighboursconfidence
▸ AGTR2 P50052 5/20 0.77
▸ AGTR1 P30556 1/20 0.77
▸ REN P00797 5/20 0.65
▸ NPY2R P49146 7/20 0.64
▸ NPY4R P50391 7/20 0.64
▸ NPY5R Q15761 7/20 0.64
▸ NPY1R P25929 5/20 0.64
▸ TFPI P10646 3/20 0.62

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
Angiotensin Ii SCHEMBL13232382 0.95 AGTR2 (0.84) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL1189 0.95 AGTR2 (0.84) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL2566771 0.95 AGTR2 (0.84) AGTR2AGTR1REN
SCHEMBL32930844 0.95 AGTR1 (0.70) AGTR2AGTR1RENNPY2RNPY4R
Angiotensin Ii SCHEMBL3465991 0.95 AGTR2 (0.83) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL14990505 0.95 AGTR2 (0.83) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL21267957 0.95 AGTR2 (0.83) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL1585377 0.94 AGTR2 (0.83) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL2183118 0.94 AGTR2 (0.83) AGTR2AGTR1REN
Angiotensin Ii SCHEMBL8898391 0.94 AGTR2 (0.83) AGTR2AGTR1REN

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
EP-4039249-B1 REMOVAL OF SERINE PROTEASES BY TREATMENT WITH FINELY DIVIDED SILICON DIOXIDE TAKEDA PHARMACEUTICALS CO (JP) 2026-02-11 — — EP disclosed
US-12545703-B2 Method to produce an immunoglobulin preparation with improved yield TAKEDA PHARMACEUTICAL COMPANY LIMITED (JP) 2026-02-10 — — US disclosed
US-20240117009-A1 REMOVAL OF SERINE PROTEASES BY TREATMENT WITH FINELY DIVIDED SILICON DIOXIDE TAKEDA PHARMACEUTICALS CO (JP) 2024-04-11 — — US disclosed
US-11891431-B2 Removal of serine proteases by treatment with finely divided silicon dioxide Takeda Pharm Limited ceutical Company Limited (JP) 2024-02-06 — — US disclosed
EP-2803349-B1 Method for preparing an enriched IgG composition from plasma TAKEDA PHARMACEUTICALS CO (JP) 2023-09-27 — — EP disclosed
US-20230142480-A1 A METHOD TO PRODUCE AN IMMUNOGLOBULIN PREPARATION FROM C-1 INHIBITOR DEPLETED PLASMA TAKEDA PHARMACEUTICAL COMPANY LIMITED (JP) 2023-05-11 — — US disclosed
EP-4126930-A1 A METHOD TO PRODUCE AN IMMUNOGLOBULIN PREPARATION FROM C-1 INHIBITOR DEPLETED PLASMA Takeda Pharmaceutical Company Limited (JP) 2023-02-08 — — EP disclosed
EP-4039249-A1 REMOVAL OF SERINE PROTEASES BY TREATMENT WITH FINELY DIVIDED SILICON DIOXIDE Baxalta GmbH (CH) 2022-08-10 — — EP 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-12545703-B2 Method to produce an immunoglobulin preparation with improved yield FCGR3B, FCGR2A, IGLV6-57 AGTR2 4560/4885AGTR1 4505/4885REN 2553/4885

“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.

Send feedback