SCHEMBL25449364

SCHEMBL25449364

CNc1ncc2cc(C(C)(C)C)ccc2n1

nearest known ligand 0.41

Predicted protein targets (top 12)

geneUniProtsupporting neighboursconfidence
▸ LCK P06239 12/20 0.41
▸ KDR P35968 9/20 0.41
▸ MAPK14 Q16539 9/20 0.41
▸ BRAF P15056 5/20 0.41
▸ TEK Q02763 2/20 0.40
▸ JAK3 P52333 6/20 0.39
▸ CCR9 P51686 1/20 0.37
▸ KCNH2 Q12809 1/20 0.36
▸ SCN10A Q9Y5Y9 1/20 0.36
▸ EGFR P00533 1/20 0.36
▸ METAP2 P50579 1/20 0.35
▸ APP P05067 1/20 0.35

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
SCHEMBL12755258 0.80 PIK3CA (0.54) LCKBRAFSCN10A
SCHEMBL25449359 0.79 ADORA1 (0.43) LCKBRAFSCN10A
SCHEMBL25449348 0.79 CCR9 (0.43) BRAFCCR9SCN10A
SCHEMBL25449363 0.78 SCN10A (0.40) KDRBRAFKCNH2SCN10A
SCHEMBL18177013 0.77 SCN10A (0.39) LCKKDRMAPK14JAK3KCNH2
SCHEMBL4548606 0.77 SCN10A (0.39) LCKKDRKCNH2SCN10AMETAP2
SCHEMBL14724666 0.77 CYP1A2 (0.46) LCKKDRMAPK14BRAFTEK
SCHEMBL14724690 0.76 LCK (0.39) LCKKDRMAPK14BRAFTEK
SCHEMBL1585490 0.76 EGFR (0.44) LCKKDRMAPK14BRAFJAK3
SCHEMBL179533 0.76 LCK (0.52) LCKKDRMAPK14JAK3KCNH2

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20230143059-A1 GCN2 MODULATOR COMPOUNDS Alesta Therapeutics BV (NL) 2023-05-11 — — US disclosed
US-20230143059-A1 GCN2 MODULATOR COMPOUNDS Alesta Therapeutics BV (NL) 2023-05-11 — — 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 (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-20230143059-A1 GCN2 MODULATOR COMPOUNDS EIF2AK4, GPR119, GCN1 LCK 4271/4885KDR 4379/4885MAPK14 1412/4885

“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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