Potassium Ion

Potassium Ion

SCHEMBL2066727

O=[PH]([O-])OC(CCCc1cccc(Oc2ccc(Cc3ccccc3)cc2)c1)S(=O)(=O)[O-].[K+].[K+]

nearest known ligand 0.68

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

AGTR1DHFRGABBR1GABBR2GABRA1GABRA2GABRA3GABRA4GABRA5GABRA6GABRB1GABRB2GABRB3GABRDGABREGABRG1GABRG2GABRG3GABRPGABRQGARTNR3C2PBP2XPTGS1PTGS2VKORC1blablaT-3blaT-4blaT-5blaT-6dacAdacBdacCfolAftsImrcAmrcBmrdApbp1apbp1bpbp2apbp2bpbp3polthyA

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

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
FDFT1 P37268 18/20 0.68

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
Potassium Ion SCHEMBL2066394 0.95 FDFT1 (0.65) FDFT1
Potassium Ion SCHEMBL2068552 0.95 FDFT1 (0.65) FDFT1
Potassium Ion SCHEMBL884026 0.89 FDFT1 (0.62) FDFT1
Potassium Ion SCHEMBL883947 0.89 FDFT1 (0.68) FDFT1
Potassium Ion SCHEMBL883903 0.88 FDFT1 (0.67) FDFT1
Potassium Ion SCHEMBL884006 0.88 FDFT1 (0.67) FDFT1
Potassium Ion SCHEMBL884177 0.88 FDFT1 (0.61) FDFT1
Potassium Ion SCHEMBL884130 0.88 FDFT1 (0.71) FDFT1
Potassium Ion SCHEMBL884169 0.86 FDFT1 (0.69) FDFT1
Potassium Ion SCHEMBL884120 0.85 FDFT1 (0.68) FDFT1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20090306021-A1 ANTIMICROBIAL THERAPY FOR BACTERIAL INFECTIONS THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2009-12-10 US claimed
US-8778913-B2 Antimicrobial compositions for treating microbial infections THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2014-07-15 US disclosed
US-20140154302-A1 ANTIMICROBIAL COMPOSITIONS FOR TREATING MICROBIAL INFECTIONS THE UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN (US) 2014-06-05 US disclosed
US-8148352-B2 Antimicrobial therapy for bacterial infections THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2012-04-03 US disclosed
US-20090306021-A1 ANTIMICROBIAL THERAPY FOR BACTERIAL INFECTIONS THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2009-12-10 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-20090306021-A1 ANTIMICROBIAL THERAPY FOR BACTERIAL INFECTIONS SERPINB1, CUTA, SRRT FDFT1 260/4885
US-20140154302-A1 ANTIMICROBIAL COMPOSITIONS FOR TREATING MICROBIAL INFECTIONS MPO, CUTA, STING1 FDFT1 368/4885

“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.