Bromide

Bromide

SCHEMBL2395709

C=C[n+]1ccn(CCCCCC)c1.[Br-]

nearest known ligand 0.60

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

ACHECHKACHRM1CHRM2CHRM3CHRM4CHRM5CHRNA1CHRNB1CHRNDCHRNECHRNGHRH2OPRM1

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

Predicted protein targets (top 14)

geneUniProtsupporting neighboursconfidence
▸ MEN1 O00255 2/20 0.60
▸ HSP90AA1 P07900 2/20 0.60
▸ KMT2A Q03164 2/20 0.60
▸ SMN1; SMN2 Q16637 2/20 0.60
▸ APAF1 O14727 1/20 0.60
▸ NPC1 O15118 1/20 0.60
▸ PLA2G1B P04054 1/20 0.60
▸ MAPT P10636 1/20 0.60
▸ MAPK1 P28482 1/20 0.60
▸ HTT P42858 1/20 0.60
▸ RAB9A P51151 1/20 0.60
▸ NPSR1 Q6W5P4 1/20 0.60
▸ ATG4B Q9Y4P1 1/20 0.60
▸ FDPS P14324 17/20 0.40

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
Bromide SCHEMBL2395832 1.00 MEN1 (0.60) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
Bromide SCHEMBL2399324 1.00 MEN1 (0.60) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
Bromide SCHEMBL2396034 1.00 MEN1 (0.60) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
Bromide SCHEMBL2395677 1.00 MEN1 (0.60) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
Bromide SCHEMBL2395819 1.00 MEN1 (0.60) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
Bromide SCHEMBL2395867 1.00 MEN1 (0.60) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
SCHEMBL8450143 0.98 MEN1 (0.57) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
SCHEMBL16307692 0.98 MEN1 (0.57) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
SCHEMBL27921181 0.98 MEN1 (0.57) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1
SCHEMBL31501079 0.98 MEN1 (0.57) MEN1HSP90AA1KMT2ASMN1; SMN2APAF1

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 29 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-109513039-B Antibacterial hydrogel dressing containing imidazole bromide salt and preparation method and application thereof 大连工业大学 2021-05-14 — — CN claimed
CN-111285951-A Lipase/polyion liquid-styrene microsphere/hydrogel catalytic material and preparation method and application thereof 大连工业大学 2020-06-16 — — CN claimed
CN-109513039-A A kind of anti-bacterial hydrogel dressing of the bromide containing imidazoles and its preparation method and application 大连工业大学 2019-03-26 — — CN claimed
CN-108579807-A A kind of cross-linked polymeric acidic ion liquid alkylation catalyst and preparation method thereof 江苏棋成化工有限公司 2018-09-28 — — CN claimed
CN-108097306-A A kind of silica catalysis material of difunctionalization and its preparation and application 中国科学院大连化学物理研究所 2018-06-01 — — CN claimed
CN-107141497-A The preparation and its application of ionic organic porous films with solvent response 国家纳米科学中心 2017-09-08 — — CN claimed
CN-114891167-A Binary ionic liquid covalent bonding immobilized silicon-based material and preparation and application thereof 武汉理工大学 2022-08-12 — — CN disclosed
CN-114573750-A Alkaline functionalized porous polyion liquid material as well as preparation method and application thereof 浙江大学杭州国际科创中心 2022-06-03 — — CN disclosed
CN-113121743-B Preparation method of self-repairing antibacterial hydrogel based on multiple interactions 青岛科技大学 2022-05-27 — — CN disclosed
CN-113150214-B Preparation method of self-repairing antibacterial hydrogel containing imidazolium salt 青岛科技大学 2022-05-24 — — CN disclosed
CN-113174064-B Preparation method of high-strength composite hydrogel 青岛科技大学 2022-05-17 — — CN disclosed
CN-113174064-A Preparation method of high-strength composite hydrogel 青岛科技大学 2021-07-27 — — CN disclosed
CN-113150214-A Preparation method of self-repairing antibacterial hydrogel containing imidazolium salt 青岛科技大学 2021-07-23 — — CN disclosed
US-20160114309-A1 Polymeric Ionic Liquids, Methods of Making and Methods of Use Thereof THE UNIVERSITY OF TOLEDO (US) 2016-04-28 — — US disclosed
US-9249261-B2 Polymeric ionic liquids, methods of making and methods of use thereof THE UNIVERSITY OF TOLEDO (US) 2016-02-02 — — US disclosed
US-8734673-B2 Boron selective ionic liquids and polymeric ionic liquids, methods of making and methods of use thereof THE UNIVERSITY OF TOLEDO (US) 2014-05-27 — — US disclosed
US-20120111796-A1 Boron Selective Ionic Liquids and Polymeric Ionic Liquids, Methods of Making and Methods of Use Thereof UNIVERSITY OF TOLEDO (US) 2012-05-10 — — US disclosed
US-20110236295-A1 Polymeric Ionic Liquids, Methods of Making and Methods of Use Thereof UNIVERSITY OF TOLEDO (US) 2011-09-29 — — US disclosed
WO-2010017564-A1 BORON SELECTIVE IONIC LIQUIDS AND POLYMERIC IONIC LIQUIDS, METHODS OF MAKING AND METHODS OF USE THEREOF UNIVERSITY OF TOLEDO (US) 2010-02-11 — — WO disclosed
WO-2010017563-A1 POLYMERIC IONIC LIQUIDS, METHODS OF MAKING AND METHODS OF USE THEREOF UNIVERSITY OF TOLEDO (US) 2010-02-11 — — 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-20120111796-A1 Boron Selective Ionic Liquids and Polymeric Ionic Liquids, Methods of Making and Methods of Use Thereof BCCIP, SLC6A12, BOLA2; BOLA2B MEN1 1196/4885HSP90AA1 4401/4885KMT2A 3451/4885

“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.

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