SCHEMBL22965641

SCHEMBL22965641

CC(C)CCC(C)CCNC(C)C

nearest known ligand 0.38

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
LMNA P02545 1/20 0.38
CYP2D6 P10635 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
SCHEMBL24433260 0.85 LMNA (0.59) LMNA
SCHEMBL105265 0.83
SCHEMBL25831104 0.81 LMNA (0.48) LMNA
Hydrochloric Acid SCHEMBL4907735 0.80 CYP2D6 (0.39) LMNACYP2D6
SCHEMBL18553053 0.80 CACNA2D1 (0.30)
SCHEMBL23902020 0.79
SCHEMBL23902015 0.79
SCHEMBL23902022 0.79
SCHEMBL17888214 0.79 TSHR (0.42) CYP2D6
SCHEMBL24486007 0.77 CYP2D6 (0.30) CYP2D6

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-20230303526-A1 IRAK DEGRADERS AND USES THEREOF KYMERA THERAPEUTICS, INC. 2023-09-28 US disclosed
US-20230110180-A1 CDK2 DEGRADERS AND USES THEREOF KYMERA THERAPEUTICS, INC. 2023-04-13 US disclosed
US-20230072658-A1 SMARCA DEGRADERS AND USES THEREOF KYMERA THERAPEUTICS, INC. 2023-03-09 US disclosed
US-11236387-B2 Compositions and methods for nucleic acid sequencing Singular Genomics Systems, Inc. (US) 2022-02-01 US disclosed
US-20210228562-A1 IRAK DEGRADERS AND USES THEREOF KYMERA THERAPEUTICS, INC. 2021-07-29 US disclosed
US-20210040555-A1 COMPOSITIONS AND METHODS FOR NUCLEIC ACID SEQUENCING FIRST-CITIZENS BANK & TRUST COMPANY 2021-02-11 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 (4 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-20210228562-A1 IRAK DEGRADERS AND USES THEREOF IRAK2, IRAK3, IRAK1 LMNA 1656/4885CYP2D6 3599/4885
US-20230110180-A1 CDK2 DEGRADERS AND USES THEREOF CDK2, CDK20, CDK1 LMNA 1186/4885CYP2D6 973/4885
US-20230303526-A1 IRAK DEGRADERS AND USES THEREOF IRAK2, IRAK3, IRAK1 LMNA 1656/4885CYP2D6 3599/4885
US-20230072658-A1 SMARCA DEGRADERS AND USES THEREOF SMARCA1, SMARCB1, SMARCE1 LMNA 621/4885CYP2D6 4577/4885

“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.