Phenylalanine

Phenylalanine

SCHEMBL1239596

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)OC(=O)[C@@H]1CCCN1.N[C@@H](Cc1ccccc1)C(=O)O.N[C@@H](Cc1ccccc1)C(=O)O

nearest known ligand 0.33

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 3)

geneUniProtsupporting neighboursconfidence
GHSR Q92847 1/20 0.33
REN P00797 11/20 0.32
APLNR P35414 3/20 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 SCHEMBL17181203 0.94 GHSR (0.42) GHSR
Phenylalanine SCHEMBL1239600 0.93 GHSR (0.35) GHSRRENAPLNR
Phenylalanine SCHEMBL1239317 0.89 ANPEP (0.33) APLNR
Phenylalanine SCHEMBL1239320 0.87 ANPEP (0.36)
Tryptophan SCHEMBL17181205 0.86 GHSR (0.44) GHSR
Arginine SCHEMBL28048007 0.81 KDM1A (0.34) GHSRAPLNR
Histidine SCHEMBL8428513 0.81
Phenylalanine SCHEMBL294178 0.80 REN (0.36) REN
Arginine SCHEMBL29238661 0.80 APLNR (0.39) GHSRAPLNR
Glutamic Acid SCHEMBL6661749 0.80

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 11 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-2741759-A2 OLIGODENDROCYTE DIFFERENTIATION University Of Coimbra (PT) 2014-06-18 EP 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
WO-2013021196-A2 OLIGODENDROCYTE DIFFERENTIATION UNIVERSITY OF COIMBRA (PT) 2013-02-14 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-20150297669-A1 PHARMACEUTICAL COMPOSITION FOR TREATING MEDICAL CONDITIONS AND A METHOD FOR TREATING ALIMENTARY DISORDERS AND RELATED DISEASES GIPR, GPR119, GLP1R GHSR 32/4885REN 209/4885APLNR 127/4885
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 207/4885APLNR 118/4885

“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.