Tetracaine

Tetracaine

SCHEMBL3309470

CCCCNc1ccc(C(=O)OCCN(C)C)cc1.CCOC(=O)c1ccc(N)cc1

nearest known ligand 0.82

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

SCN10ASCN11ASCN1ASCN2ASCN3ASCN4ASCN5ASCN7ASCN8ASCN9A

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

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
SCN5A known ✓ Q14524 2/20 0.82
SCN1A known ✓ P35498 2/20 0.82
SCN2A known ✓ Q99250 2/20 0.82
SCN3A known ✓ Q9NY46 2/20 0.82
SCN7A known ✓ Q01118 1/20 0.82
SCN9A known ✓ Q15858 1/20 0.82
SCN8A known ✓ Q9UQD0 1/20 0.82
LMNA P02545 5/20 0.82
CYP1A2 P05177 4/20 0.82
MAOA P21397 3/20 0.82
DRD3 P35462 2/20 0.82
SLC6A3 Q01959 2/20 0.82
KCNH2 Q12809 2/20 0.82
HRH3 Q9Y5N1 2/20 0.82
CNR1 P21554 1/20 0.82
DRD4 P21917 1/20 0.82
ACHE P22303 1/20 0.82
HRH2 P25021 1/20 0.82
HTR2A P28223 1/20 0.82
HTR2C P28335 1/20 0.82

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
Tetracaine SCHEMBL1429149 0.91 LMNA (0.79) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL34714 0.91 LMNA (1.00) LMNACYP1A2MAOASCN5ADRD3
Butacaine SCHEMBL2161574 0.90 LMNA (0.77) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL3176478 0.90 LMNA (0.97) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL27896875 0.90 LMNA (0.97) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL7774179 0.90 LMNA (0.97) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL24370 0.90 LMNA (1.00) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL28641231 0.90 LMNA (0.97) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL1355595 0.90 LMNA (1.00) LMNACYP1A2MAOASCN5ADRD3
Tetracaine SCHEMBL2728732 0.88 LMNA (0.95) LMNACYP1A2MAOASCN5ADRD3

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-103717597-B Heterocyclic compounds as kinase inhibitors 原真股份有限公司 2017-07-04 CN disclosed
CN-103492389-B Pyrazolo [4,3-d] pyrimidine as inhibitors of kinases 原真股份有限公司 2016-09-14 CN disclosed
US-20100113426-A1 Intranasal Benzodiazepine Compositions WERMELING DANIEL P 2010-05-06 US disclosed
EP-1727549-A4 INTRANASAL BENZODIAZEPINE COMPOSITIONS UNIV KENTUCKY RES FOUND (US) 2007-12-26 EP disclosed
US-20070110689-A1 Oral anaesthetic gel FELDSCHUH MARK 2007-05-17 US disclosed
US-20070071687-A1 INTRANASAL BENZODIAZEPINE COMPOSITIONS WERMELING DANIEL P 2007-03-29 US disclosed
EP-1727549-A1 INTRANASAL BENZODIAZEPINE COMPOSITIONS UNIVERSITY OF KENTUCKY RESEARCH FOUNDATION (US) 2006-12-06 EP disclosed
EP-1708668-A1 ORAL ANAESTHETIC GEL Oral Bioscience Pty. Limited (AU) 2006-10-11 EP disclosed
WO-2005089768-A1 INTRANASAL BENZODIAZEPINE COMPOSITIONS UNIVERSITY OF KENTUCKY RESEARCH FOUNDATION (US) 2005-09-29 WO disclosed
WO-2005067865-A1 ORAL ANAESTHETIC GEL ORAL BIOSCIENCE PTY. LIMITED (AU) 2005-07-28 WO disclosed
US-20040176359-A1 Intranasal Benzodiazepine compositions UNIVERSITY OF KENTUCKY RESEARCH FOUNDATION 2004-09-09 US disclosed
EP-0831774-B1 ORAL DOSAGE AND METHOD FOR TREATING PAINFUL CONDITIONS OF THE ORAL CAVITY ALZA CORP (US) 2001-07-11 EP disclosed
US-5713852-A Oral dosage and method for treating painful conditions of the oral cavity ALZA CORPORATION (US) 1998-02-03 US disclosed
CN-1016760-B Anaphylaxis test device FISHER TORKEL INGEMAR (SE) 1992-05-27 CN disclosed
CN-85107871-A Anaphylaxis test device 1986-06-10 CN 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-20040176359-A1 Intranasal Benzodiazepine compositions GABRA1, GABRA2, GABRA6 SCN5A 204/4885SCN1A 49/4885SCN2A 92/4885
US-20100113426-A1 Intranasal Benzodiazepine Compositions GABRA1, GABRA2, GABRA6 SCN5A 204/4885SCN1A 49/4885SCN2A 92/4885

“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.