Lithium Ion

Lithium Ion

SCHEMBL7036645

O=C(Nc1ccc(OCc2cccs2)cc1C(=O)[O-])c1ccc(Cl)cc1Cl.[Li+]

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

GSK3AGSK3BIMPA1

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

Predicted protein targets (top 10)

geneUniProtsupporting neighboursconfidence
PPARG P37231 17/20 1.00
PPARA Q07869 8/20 1.00
KDM4E B2RXH2 1/20 0.47
MEN1 O00255 1/20 0.47
APOBEC3A P31941 1/20 0.47
KMT2A Q03164 1/20 0.47
APOBEC3G Q9HC16 1/20 0.47
NPC1 O15118 1/20 0.47
RAB9A P51151 1/20 0.47
SMN1; SMN2 Q16637 1/20 0.47

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
Lithium Ion SCHEMBL7034820 0.92 PPARG (1.00) PPARGPPARAKDM4EMEN1APOBEC3A
SCHEMBL7040522 0.90 PPARG (0.82) PPARGPPARAKDM4EMEN1APOBEC3A
SCHEMBL7036649 0.89 PPARG (0.80) PPARGPPARAKDM4EMEN1APOBEC3A
SCHEMBL7035781 0.88 PPARG (0.79) PPARGPPARAKDM4EMEN1APOBEC3A
Lithium Ion SCHEMBL7036844 0.82 PPARG (0.70) PPARGPPARAMEN1KMT2ARAB9A
Lithium Ion SCHEMBL7039324 0.82 PPARG (0.84) PPARGPPARAMEN1KMT2A
Lithium Ion SCHEMBL7038578 0.82 PPARG (0.70) PPARGPPARAMEN1KMT2ANPC1
Lithium Ion SCHEMBL7041189 0.82 PPARG (0.77) PPARGPPARASMN1; SMN2
SCHEMBL7039618 0.82 PPARG (0.83) PPARGPPARAKDM4EMEN1APOBEC3A
SCHEMBL7034823 0.81 PPARG (0.81) PPARGPPARAKDM4EMEN1APOBEC3A

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
US-20030082631-A1 Compounds modulating PPAR-gamma BIOVITRUM AB (SE) 2003-05-01 US claimed
WO-2003005025-A1 METHODS FOR IDENTIFYING COMPOUNDS MODULATING THE ACTIVITY OF PPAR-GAMMA BIOVITRUM AB (SE) 2003-01-16 WO claimed
US-20030082631-A1 Compounds modulating PPAR-gamma BIOVITRUM AB (SE) 2003-05-01 US disclosed
US-20030073862-A1 Compounds BIOVITRUM AB (SE) 2003-04-17 US disclosed
WO-2003005025-A1 METHODS FOR IDENTIFYING COMPOUNDS MODULATING THE ACTIVITY OF PPAR-GAMMA BIOVITRUM AB (SE) 2003-01-16 WO disclosed
WO-2003004458-A1 NEW COMPOUNDS BIOVITRUM AB (SE) 2003-01-16 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-20030082631-A1 Compounds modulating PPAR-gamma PPARG, PPARA, PPARD PPARG 1/4885PPARA 2/4885KDM4E 2272/4885
US-20030073862-A1 Compounds PPARG, PPARA, PPARD PPARG 1/4885PPARA 2/4885KDM4E 2125/4885

“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.