SCHEMBL1636892

SCHEMBL1636892

Cc1cccc([Si]2(C)CCCC(C)O2)c1C

nearest known ligand 0.33

Predicted protein targets (top 7)

geneUniProtsupporting neighboursconfidence
LMNA P02545 1/20 0.32
GAA P10253 1/20 0.32
ALOX12 P18054 1/20 0.32
HTR2C P28335 2/20 0.31
TAS1R3 Q7RTX0 1/20 0.31
TAS1R1 Q7RTX1 1/20 0.31
TAS1R2 Q8TE23 1/20 0.31

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
SCHEMBL1267735 0.88 HTR2C (0.31) HTR2C
SCHEMBL3148569 0.74
SCHEMBL3143045 0.74
SCHEMBL1326144 0.72
SCHEMBL3152728 0.71
SCHEMBL17105814 0.68 TRPA1 (0.37) HTR2C
SCHEMBL17105822 0.67 TRPA1 (0.39) HTR2C
SCHEMBL483507 0.66
SCHEMBL28680749 0.65 HTR2C (0.41) LMNAGAAALOX12HTR2CTAS1R3
SCHEMBL5017630 0.62 ACHE (0.33)

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20090182161-A1 METHOD TO IMPROVE WETTABILITY BY REDUCING LIQUID POLYMER MACROMOLECULE MOBILITY THROUGH FORMING POLYMER BLEND SYSTEM INTERNATIONAL BUSINESS MACHINES CORPORATION (US) 2009-07-16 US claimed
US-7932342-B2 Method to improve wettability by reducing liquid polymer macromolecule mobility through forming polymer blend system INTERNATIONAL BUSINESS MACHINES CORPORATION (US) 2011-04-26 US disclosed
US-20090182161-A1 METHOD TO IMPROVE WETTABILITY BY REDUCING LIQUID POLYMER MACROMOLECULE MOBILITY THROUGH FORMING POLYMER BLEND SYSTEM INTERNATIONAL BUSINESS MACHINES CORPORATION (US) 2009-07-16 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-20090182161-A1 METHOD TO IMPROVE WETTABILITY BY REDUCING LIQUID POLYMER MACROMOLECULE MOBILITY THROUGH FORMING POLYMER BLEND SYSTEM VCL, PCNA, MMP26 LMNA 648/4885GAA 2541/4885ALOX12 3599/4885

“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.