SCHEMBL24317846

SCHEMBL24317846

O=C1Nc2ccc(Br)c3nccc1c23

nearest known ligand 0.36

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
SMN1; SMN2 Q16637 3/20 0.36
CYP1A2 P05177 2/20 0.36
TGM2 P21980 1/20 0.35
CES1 P23141 1/20 0.35
CDK5 Q00535 2/20 0.35
CDK2 P24941 2/20 0.35
GSK3B P49841 2/20 0.35
PLK4 O00444 1/20 0.35
AURKA O14965 1/20 0.35
CHEK2 O96017 1/20 0.35
LCK P06239 1/20 0.35
MAPK8 P45983 1/20 0.35
CSNK1D P48730 1/20 0.35
GSK3A P49840 1/20 0.35
BLK P51451 1/20 0.35
STK3 Q13188 1/20 0.35
AURKB Q96GD4 1/20 0.35
ALDH1A1 P00352 8/20 0.33
KDM4E B2RXH2 6/20 0.33
HSD17B10 Q99714 5/20 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
SCHEMBL29532397 1.00 SMN1; SMN2 (0.36) SMN1; SMN2CYP1A2TGM2CES1CDK5
SCHEMBL29532593 0.93 PARP1 (0.36) SMN1; SMN2CYP1A2TGM2CES1CDK5
SCHEMBL24315814 0.93 PARP1 (0.36) SMN1; SMN2CYP1A2TGM2CES1CDK5
SCHEMBL31280181 0.75 PLK4 (0.34) CYP1A2TGM2CES1CDK5CDK2
SCHEMBL11335648 0.74 CES1 (0.41) CYP1A2TGM2CES1CDK5CDK2
SCHEMBL24317492 0.73 TGM2 (0.32) TGM2CES1CDK5GSK3BLCK
SCHEMBL29531911 0.73 TGM2 (0.32) TGM2CES1CDK5GSK3BLCK
SCHEMBL24329203 0.72 PARP1 (0.35) TGM2CES1CDK5CDK2GSK3B
SCHEMBL24316070 0.71 CCR1 (0.40) SMN1; SMN2CYP1A2CDK5CDK2GSK3B
SCHEMBL24317325 0.70 CYP1B1 (0.35) TGM2CES1CDK5CDK2GSK3B

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20240018118-A1 TRICYCLIC COMPOUNDS TO DEGRADE NEOSUBSTRATES FOR MEDICAL THERAPY C 4 Therapeutics, Inc. (US) 2024-01-18 US disclosed
US-20240018118-A1 TRICYCLIC COMPOUNDS TO DEGRADE NEOSUBSTRATES FOR MEDICAL THERAPY C 4 Therapeutics, Inc. (US) 2024-01-18 US disclosed
US-20230372496-A1 TRICYCLIC HETEROBIFUNCTIONAL COMPOUNDS FOR DEGRADATION OF TARGETED PROTEINS C4 THERAPEUTICS, INC. (US) 2023-11-23 US disclosed
US-20230372496-A1 TRICYCLIC HETEROBIFUNCTIONAL COMPOUNDS FOR DEGRADATION OF TARGETED PROTEINS C4 THERAPEUTICS, INC. (US) 2023-11-23 US disclosed
US-20230372496-A1 TRICYCLIC HETEROBIFUNCTIONAL COMPOUNDS FOR DEGRADATION OF TARGETED PROTEINS C4 THERAPEUTICS, INC. (US) 2023-11-23 US disclosed
CN-116723839-A Tricyclic heterobifunctional compounds for degrading target proteins C4医药公司 2023-09-08 CN disclosed
CN-116457339-A Tricyclic compounds degrading novel substrates for medical treatment C4医药公司 2023-07-18 CN disclosed
WO-2022081927-A1 TRICYCLIC COMPOUNDS TO DEGRADE NEOSUBSTRATES FOR MEDICAL THERAPY C4 THERAPEUTICS, INC. (US) 2022-04-21 WO disclosed
WO-2022081928-A1 TRICYCLIC HETEROBIFUNCTIONAL COMPOUNDS FOR DEGRADATION OF TARGETED PROTEINS C4 THERAPEUTICS, INC. (US) 2022-04-21 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 (2 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-20230372496-A1 TRICYCLIC HETEROBIFUNCTIONAL COMPOUNDS FOR DEGRADATION OF TARGETED PROTEINS CRBN, CDR2, MDM2 SMN1; SMN2 1100/4885CYP1A2 3440/4885TGM2 1502/4885
US-20240018118-A1 TRICYCLIC COMPOUNDS TO DEGRADE NEOSUBSTRATES FOR MEDICAL THERAPY NFATC1, CTSS, MMP12 SMN1; SMN2 524/4885CYP1A2 2070/4885TGM2 670/4885

“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.