Iodide

Iodide

SCHEMBL404487

C[N+]1(C)CCCN(c2ccccc2)CC1.[I-]

nearest known ligand 0.85

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

ACHECHRM1CHRM3CHRNA1CHRNB1CHRNDCHRNECHRNG

The experimentally established mechanism targets of Iodide. 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
MEN1 O00255 1/20 0.85
POLB P06746 1/20 0.85
APOBEC3A P31941 1/20 0.85
PMP22 Q01453 1/20 0.85
KMT2A Q03164 1/20 0.85
SMN1; SMN2 Q16637 1/20 0.85
HIF1A Q16665 1/20 0.85
APOBEC3G Q9HC16 1/20 0.85
CHRNA7 P36544 2/20 0.81
CYP3A4 P08684 1/20 0.81
ALOX15 P16050 1/20 0.81
CHRNB2 P17787 1/20 0.81
NFKB1 P19838 1/20 0.81
MAPK1 P28482 1/20 0.81
CHRNA3 P32297 1/20 0.81
CHRNA4 P43681 1/20 0.81
HSD17B10 Q99714 1/20 0.81
HTR3E A5X5Y0 1/20 0.53
HTR3B O95264 1/20 0.53
HTR3A P46098 1/20 0.53

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
SCHEMBL10114942 0.98 CHRNA7 (0.85) MEN1POLBAPOBEC3APMP22KMT2A
Dimethylphenylpiperazinium SCHEMBL305083 0.92 MEN1 (1.00) MEN1POLBAPOBEC3APMP22KMT2A
Dimethylphenylpiperazinium SCHEMBL3453554 0.90 CHRNA7 (1.00) MEN1POLBAPOBEC3APMP22KMT2A
Dimethylphenylpiperazinium SCHEMBL6829257 0.88 CHRNA7 (0.96) MEN1POLBAPOBEC3APMP22KMT2A
Dimethylphenylpiperazinium SCHEMBL1427906 0.88 CHRNA7 (0.96) MEN1POLBAPOBEC3APMP22KMT2A
SCHEMBL6748684 0.80 MAPT (0.58) MEN1POLBAPOBEC3APMP22KMT2A
SCHEMBL17151056 0.80 HTR3E (0.59) MEN1POLBAPOBEC3APMP22KMT2A
Hydrochloric Acid SCHEMBL5354549 0.79 MAPT (0.56) MEN1POLBAPOBEC3APMP22KMT2A
SCHEMBL18999281 0.79 CHRNA7 (0.64) MEN1POLBAPOBEC3APMP22KMT2A
Iodide SCHEMBL17144379 0.78 KMT2A (0.57) MEN1POLBAPOBEC3APMP22KMT2A

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3125903-B1 METHOD FOR USE OF HOMOPIPERAZINIUM COMPOUNDS IN THE TREATMENT OF CANCER UNIV LAVAL (CA) 2018-12-19 EP disclosed
US-20180235978-A1 METHOD FOR USE OF HOMOPIPERAZINIUM COMPOUNDS IN THE TREATMENT OF CANCER UNIVERSITé LAVAL (CA) 2018-08-23 US disclosed
US-9949984-B2 Method for use of homopiperazinium compounds in the treatment of cancer UNIVERSITé LAVAL (CA) 2018-04-24 US disclosed
US-20170173040-A1 METHOD FOR USE OF HOMOPIPERAZINIUM COMPOUNDS IN THE TREATMENT OF CANCER UNIVERSITé LAVAL (CA) 2017-06-22 US disclosed
EP-1773779-B1 NICOTINIC RECEPTOR AGONISTS FOR THE TREATMENT OF INFLAMMATORY DISEASES UNIV LAVAL (CA) 2013-12-04 EP disclosed
US-8557804-B2 Nicotinic receptor agonists for the treatment of inflammatory diseases UNIVERSITE LAVAL (CA) 2013-10-15 US disclosed
US-8551983-B2 Nicotinic receptor agonists for the treatment of inflammatory diseases UNIVERSITE LAVAL (CA) 2013-10-08 US disclosed
US-20120022049-A1 NICOTINIC RECEPTOR AGONISTS FOR THE TREATMENT OF INFLAMMATORY DISEASES UNIVERSITE LAVAL (CA) 2012-01-26 US disclosed
US-8039459-B2 especially dimethylphenylpiperazinium; treating a variety of pulmonary diseases with fewer side effects than other anti-inflammatory drugs, such as steroids UNIVERSITE LAVAL (CA) 2011-10-18 US disclosed
US-20080221085-A1 Nicotinic Receptor Agonists for the Treatment of Inflammatory Diseases UNIVERSITE LAVAL (CA) 2008-09-11 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 (4 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-20170173040-A1 METHOD FOR USE OF HOMOPIPERAZINIUM COMPOUNDS IN THE TREATMENT OF CANCER HCCS, XDH, XPA MEN1 908/4885POLB 614/4885APOBEC3A 2787/4885
US-20180235978-A1 METHOD FOR USE OF HOMOPIPERAZINIUM COMPOUNDS IN THE TREATMENT OF CANCER MGMT, KAT5, KAT2B MEN1 198/4885POLB 1188/4885APOBEC3A 3490/4885
US-20080221085-A1 Nicotinic Receptor Agonists for the Treatment of Inflammatory Diseases CHRNA1, CHRNG, CHRM1 MEN1 3942/4885POLB 3368/4885APOBEC3A 4191/4885
US-20120022049-A1 NICOTINIC RECEPTOR AGONISTS FOR THE TREATMENT OF INFLAMMATORY DISEASES CHRNA1, CHRNG, CHRM1 MEN1 3942/4885POLB 3368/4885APOBEC3A 4191/4885

“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.