Glycylleucylphenylalanine

Glycylleucylphenylalanine

SCHEMBL4281369

CC(C)CC(NC(=O)CN)C(=O)NC(Cc1ccccc1)C(=O)O

nearest known ligand 0.64

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Predicted protein targets (top 10)

geneUniProtsupporting neighboursconfidence
ACE P12821 2/20 0.62
MMP2 P08253 1/20 0.61
MMP7 P09237 1/20 0.61
MMP9 P14780 1/20 0.61
MMP12 P39900 1/20 0.61
MMP13 P45452 1/20 0.61
MME P08473 3/20 0.61
CPA1 P15085 1/20 0.57
ACE2 Q9BYF1 1/20 0.57
CTSB P07858 1/20 0.56

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
Glycylleucylphenylalanine SCHEMBL4281374 1.00 ACE (0.62) ACEMMP2MMP7MMP9MMP12
SCHEMBL21192616 0.95 ACE (0.57) ACEMMP2MMP7MMP9MMP12
SCHEMBL21192611 0.95 ACE (0.57) ACEMMP2MMP7MMP9MMP12
SCHEMBL9551455 0.95 MME (0.64) ACEMMP2MMP7MMP9MMP12
SCHEMBL5370772 0.95 MME (0.64) ACEMMP2MMP7MMP9MMP12
SCHEMBL9829182 0.95 MME (0.64) ACEMMP2MMP7MMP9MMP12
SCHEMBL30396564 0.93 ACE (0.63) ACEMMP2MMP7MMP9MMP12
SCHEMBL8983297 0.92 CTSB (0.62) ACEMMP2MMP7MMP9MMP12
SCHEMBL8983313 0.92 CTSB (0.62) ACEMMP2MMP7MMP9MMP12
SCHEMBL29427560 0.92 MME (0.58) ACEMMP2MMP7MMP9MMP12

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20090143279-A1 Methods and compositions for treating metabolic disorders PRESIDENT AND FELLOWS OF HARVARD COLLEGE 2009-06-04 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-20090143279-A1 Methods and compositions for treating metabolic disorders PC, PCK2, CS ACE 1455/4885MMP2 2846/4885MMP7 2870/4885

“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.