Phenylalanine

Phenylalanine

SCHEMBL1239600

CC(C)C[C@H](N)C(=O)O.CC(C)[C@H](N)C(=O)O.NC(=O)C[C@H](N)C(=O)O.NCCCC[C@H](N)C(=O)O.N[C@@H](CO)C(=O)O.N[C@@H](Cc1c[nH]cn1)C(=O)O.N[C@@H](Cc1ccccc1)C(=O)O.N[C@@H](Cc1ccccc1)C(=O)O.O=C(O)[C@@H]1CCCN1

nearest known ligand 0.35

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

PPARDPTGS1PTGS2dacAdacBdacCftsImrcAmrcBmrdA

The experimentally established mechanism targets of Phenylalanine. The predicted profile below is derived independently by chemical similarity — agreement is a validation signal, a miss is honest.

Predicted protein targets (top 7)

geneUniProtsupporting neighboursconfidence
GHSR Q92847 1/20 0.35
REN P00797 10/20 0.34
OPRK1 P41145 1/20 0.32
APLNR P35414 1/20 0.32
ANPEP P15144 1/20 0.31
RNPEP Q9H4A4 1/20 0.31
DNPEP Q9ULA0 1/20 0.31

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
Tryptophan SCHEMBL17181205 0.93 GHSR (0.44) GHSR
Phenylalanine SCHEMBL1239596 0.93 GHSR (0.33) GHSRRENAPLNR
Phenylalanine SCHEMBL1239320 0.91 ANPEP (0.36) OPRK1ANPEPRNPEPDNPEP
Arginine SCHEMBL28048007 0.88 KDM1A (0.34) GHSRAPLNR
Phenylalanine SCHEMBL294178 0.87 REN (0.36) RENANPEPRNPEPDNPEP
Tryptophan SCHEMBL17181203 0.87 GHSR (0.42) GHSR
Phenylalanine SCHEMBL1240250 0.86 GHSR (0.39) GHSRRENOPRK1
Arginine SCHEMBL29238661 0.86 APLNR (0.39) GHSRAPLNR
Tyrosine SCHEMBL28498362 0.86 F2 (0.38) REN
Phenylalanine SCHEMBL8810515 0.86 ALPI (0.38) GHSRRENOPRK1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20150297669-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES SOCIEDADE BENEFICENTE DE SENHORAS HOSPITAL SIRIO LIBANES (BR) 2015-10-22 US claimed
US-20130196904-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES SOCIEDADE BENEFICENTE DE DENORAS HOSPITAL SIRIO LIBANES (BR) 2013-08-01 US claimed
EP-2459207-A2 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES SOCIEDADE BENEFICENTE DE SENHORAS HOSPITAL SÍRIO E LIBANÊS (BR) 2012-06-06 EP claimed
WO-2011011847-A2 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES SOCIEDADE BENEFICIENTE DE SENHORAS HOSPITAL SIRIO LIBANES (BR) 2011-02-03 WO claimed
US-9452196-B2 Pharmaceutical composition for treating medical conditions and a method for treating alimentary disorders and related diseases SOCIEDADE BENEFICENTE DE SENHORAS HOSPITAL SIRIO LIBANES (BR) 2016-09-27 US disclosed
US-20150297669-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES SOCIEDADE BENEFICENTE DE SENHORAS HOSPITAL SIRIO LIBANES (BR) 2015-10-22 US disclosed
US-20140296153-A1 Oligodendrocyte Differentiation ALVES XAPELI SARA (PT) 2014-10-02 US disclosed
EP-2459207-B1 PHARMACEUTICAL COMPOSITION FOR USE IN TREATING OBESITY, DIABETES OR TO INCREASE INSULIN SENSITIVITY SOCIEDADE BENEFICENTE DE SENHORAS HOSPITAL SIRIO E LIBANES (BR) 2013-11-20 EP disclosed
US-20130196904-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES SOCIEDADE BENEFICENTE DE DENORAS HOSPITAL SIRIO LIBANES (BR) 2013-08-01 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 (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-20150297669-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES GIPR, GPR119, GLP1R GHSR 32/4885REN 209/4885OPRK1 176/4885
US-20130196904-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES GIPR, GPR119, GLP1R GHSR 34/4885REN 207/4885OPRK1 168/4885

“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.