SCHEMBL20156095

SCHEMBL20156095

COc1cc(C(=O)N2CCC2)ccc1Nc1cc(NC(=O)C2CC2)nc2c1nc(C(F)F)n2PI

nearest known ligand 0.63

Predicted protein targets (top 5)

geneUniProtsupporting neighboursconfidence
TYK2 P29597 13/20 0.63
L3MBTL1 Q9Y468 1/20 0.43
LRRK2 Q5S007 4/20 0.42
MGLL Q99685 1/20 0.41
DYRK1A Q13627 1/20 0.41

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
SCHEMBL20091960 0.83 TYK2 (0.59) TYK2L3MBTL1LRRK2DYRK1A
SCHEMBL20092664 0.82 TYK2 (0.59) TYK2L3MBTL1LRRK2DYRK1A
SCHEMBL20091964 0.81 TYK2 (0.79) TYK2DYRK1A
SCHEMBL20155831 0.81 TYK2 (0.64) TYK2
SCHEMBL20155856 0.81 TYK2 (0.65) TYK2DYRK1A
SCHEMBL20092844 0.80 TYK2 (0.61) TYK2LRRK2DYRK1A
SCHEMBL20092663 0.80 TYK2 (0.79) TYK2LRRK2DYRK1A
SCHEMBL20093063 0.78 TYK2 (0.61) TYK2
SCHEMBL20091657 0.76 TYK2 (0.77) TYK2L3MBTL1LRRK2
SCHEMBL20091926 0.76 TYK2 (0.70) TYK2

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-20210094948-A1 TYK2 INHIBITORS AND USES THEREOF TAKEDA PHARMACEUTICAL COMPANY LIMITED (JP) 2021-04-01 US disclosed
US-10647713-B2 TYK2 inhibitors and uses thereof NIMBUS LAKSHMI, INC. (US) 2020-05-12 US disclosed
US-20180134700-A1 TYK2 INHIBITORS AND USES THEREOF TAKEDA PHARMACEUTICAL COMPANY LIMITED (JP) 2018-05-17 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 (3 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-20210094948-A1 TYK2 INHIBITORS AND USES THEREOF TYK2, JAK2, JAK1 TYK2 1/4885L3MBTL1 914/4885LRRK2 269/4885
US-20180134700-A1 TYK2 INHIBITORS AND USES THEREOF TYK2, JAK2, JAK1 TYK2 1/4885L3MBTL1 914/4885LRRK2 269/4885
US-10647713-B2 TYK2 inhibitors and uses thereof TYK2, JAK2, JAK1 TYK2 1/4885L3MBTL1 914/4885LRRK2 269/4885

“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.