Tyrosine

Tyrosine

SCHEMBL3789569

CC(O)C(N)C(=O)O.NC(CS)C(=O)O.NC(Cc1ccc(O)cc1)C(=O)O

nearest known ligand 0.65

Full drug profile on Sugi Atlas →

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
SLC7A5 Q01650 3/20 0.65
PTGS1 P23219 3/20 0.47
ALPI P09923 1/20 0.47
PKM P14618 1/20 0.47
XIAP P98170 1/20 0.47
KDM4E B2RXH2 1/20 0.46
USP2 O75604 1/20 0.46
EGFR P00533 1/20 0.46
LCK P06239 1/20 0.46
FYN P06241 1/20 0.46
ADORA3 P0DMS8 1/20 0.46
ALOX15 P16050 1/20 0.46
HTR2A P28223 1/20 0.46
PTGS2 P35354 1/20 0.46
RECQL P46063 1/20 0.46
HIF1A Q16665 1/20 0.46
HSD17B10 Q99714 1/20 0.46
TDP1 Q9NUW8 1/20 0.46
TAAR1 Q96RJ0 3/20 0.45
SLC6A2 P23975 1/20 0.45

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
Tyrosine SCHEMBL3789572 1.00 SLC7A5 (0.65) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL9751837 1.00 SLC7A5 (0.65) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL1443661 0.93 SLC7A5 (0.75) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL1443654 0.93 SLC7A5 (0.75) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL8937062 0.91 SLC7A5 (0.53) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL8937070 0.91 SLC7A5 (0.53) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL16820324 0.90 SLC7A5 (0.71) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL27742384 0.89 SLC7A5 (0.69) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL6378175 0.89 SLC7A5 (0.73) SLC7A5PTGS1ALPIPKMXIAP
Tyrosine SCHEMBL5707691 0.89 SLC7A5 (0.83) SLC7A5PTGS1ALPIPKMXIAP

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-2496245-B1 ANALOGS OF PITUTARY ADENYLATE CYCLASE-ACTIVATING POLYPEPTIDE (PACAP) AND METHODS FOR THEIR USE UNIV TULANE (US) 2016-07-20 EP disclosed
US-8916517-B2 Analogs of pituitary adenylate cyclase-activating polypeptide (PACAP) and methods for their use THE ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND (US) 2014-12-23 US disclosed
US-20130065816-A1 ANALOGS OF PITUITARY ADENYLATE CYCLASE-ACTIVATING POLYPEPTIDE (PACAP) AND METHODS FOR THEIR USE THE ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND (US) 2013-03-14 US disclosed
US-20110312877-A1 ENGINEERED TUNABLE NANOPARTICLES FOR DELIVERY OF THERAPEUTICS, DIAGNOSTICS, AND EXPERIMENTAL COMPOUNDS AND RELATED COMPOSITIONS FOR THERAPEUTIC USE APARNA BIOSCEIENCES (US) 2011-12-22 US disclosed
EP-2257280-A1 ENGINEERED TUNABLE NANOPARTICLES FOR DELIVERY OF THERAPEUTICS, DIAGNOSTICS, AND EXPERIMENTAL COMPOUNDS AND RELATED COMPOSITIONS FOR THERAPEUTIC USE Aparna Biosciences (US) 2010-12-08 EP disclosed
WO-2009108822-A1 ENGINEERED TUNABLE NANOPARTICLES FOR DELIVERY OF THERAPEUTICS, DIAGNOSTICS, AND EXPERIMENTAL COMPOUNDS AND RELATED COMPOSITIONS FOR THERAPEUTIC USE APARNA BIOSCIENCES (US) 2009-09-03 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 (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-20110312877-A1 ENGINEERED TUNABLE NANOPARTICLES FOR DELIVERY OF THERAPEUTICS, DIAGNOSTICS, AND EXPERIMENTAL COMPOUNDS AND RELATED COMPOSITIONS FOR THERAPEUTIC USE TLR3, CHIA, TSG101 SLC7A5 3132/4885PTGS1 998/4885ALPI 2004/4885

“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.