SCHEMBL9928105

SCHEMBL9928105

CC(C)(C)OCC(O)CN(CCNCCNCCN(CCN)CC(O)COCCC[Si](O)(O)O)CC(O)COCCC[Si](O)(O)O

nearest known ligand 0.33

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
HTT P42858 1/20 0.33

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
SCHEMBL9928095 1.00 HTT (0.33) HTT
SCHEMBL9928094 0.96 HTT (0.33) HTT
SCHEMBL9928099 0.96 HTT (0.33) HTT
SCHEMBL9928097 0.96 HTT (0.34) HTT
SCHEMBL16298584 0.95 HTT (0.34) HTT
SCHEMBL9928104 0.94 HTT (0.30) HTT
SCHEMBL9928107 0.94 HTT (0.30) HTT
SCHEMBL9928096 0.94 HTT (0.32) HTT
SCHEMBL9928108 0.94 HTT (0.32) HTT
SCHEMBL9928101 0.91 HTT (0.31) HTT

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-9944534-B2 Reducing aluminosilicate scale in the Bayer process ECOLAB USA INC. (US) 2018-04-17 US disclosed
US-9944534-B2 Reducing aluminosilicate scale in the Bayer process ECOLAB USA INC. (US) 2018-04-17 US disclosed
US-20170050861-A1 Reducing Aluminosilicate Scale in the Bayer Process NALCO COMPANY (US) 2017-02-23 US disclosed
US-20170050861-A1 Reducing Aluminosilicate Scale in the Bayer Process NALCO COMPANY (US) 2017-02-23 US disclosed
US-9487408-B2 Reducing aluminosilicate scale in the bayer process NALCO COMPANY (US) 2016-11-08 US disclosed
US-20120148462-A1 REDUCING ALUMINOSILICATE SCALE IN THE BAYER PROCESS ECOLAB USA INC. 2012-06-14 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 (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-20170050861-A1 Reducing Aluminosilicate Scale in the Bayer Process DSP, SOST, SORD HTT 2952/4885

“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.