SCHEMBL21179227

SCHEMBL21179227

Cc1ccc(S(=O)(=O)OCCCCCCCN=[N+]=[N-])cc1

nearest known ligand 0.38

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
CA12 O43570 1/20 0.38
CA1 P00915 1/20 0.38
CA9 Q16790 1/20 0.38
PSMD10 O75832 1/20 0.38
ALDH1A1 P00352 4/20 0.38
CYP3A4 P08684 1/20 0.38
CYP2C9 P11712 1/20 0.38
CYP2C19 P33261 1/20 0.38
CYP24A1 Q07973 2/20 0.37
MMP2 P08253 1/20 0.37
MMP9 P14780 1/20 0.37
MMP8 P22894 1/20 0.37
MMP13 P45452 1/20 0.37
STAT3 P40763 1/20 0.36
GAA P10253 1/20 0.35
G6PD P11413 1/20 0.35
ESR1 P03372 1/20 0.35
ESR2 Q92731 1/20 0.35
CASP3 P42574 1/20 0.34
CASP7 P55210 1/20 0.34

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
SCHEMBL13884657 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL31556805 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL18301202 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL31556837 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL15881370 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL15264830 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL26634633 1.00 CA12 (0.38) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL16599488 0.98 CA12 (0.39) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL14363642 0.94 CA12 (0.40) CA12CA1CA9PSMD10ALDH1A1
SCHEMBL13456779 0.88 CA12 (0.41) CA12CA1CA9PSMD10ALDH1A1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3743069-B1 BCL-2 PROTEINS DEGRADERS FOR CANCER TREATMENT BIOVENTURES LLC (US) 2025-08-06 EP disclosed
US-20250236607-A1 CYCLIN-DEPENDENT KINASE 9 (CDK9) DEGRADERS AND METHODS OF USING THEREOF OHIO STATE INNOVATION FOUNDATION 2025-07-24 US disclosed
WO-2025075958-A1 POLYMER-FUNCTIONALIZED RETICULAR MATERIALS FOR CARBON DIOXIDE CAPTURE THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2025-04-10 WO disclosed
EP-4499148-A1 CYCLIN-DEPENDENT KINASE 9 (CDK9) DEGRADERS AND METHODS OF USING THEREOF Ohio State Innovation Foundation (US) 2025-02-05 EP disclosed
US-12118414-B2 BCL-2 proteins degraders for cancer treatment BIOVENTURES, LLC (US) 2024-10-15 US disclosed
WO-2023192534-A1 CYCLIN-DEPENDENT KINASE 9 (CDK9) DEGRADERS AND METHODS OF USING THEREOF OHIO STATE INNOVATION FOUNDATION (US) 2023-10-05 WO disclosed
CN-112105360-A BCL-2 protein degrading agents for cancer treatment 生物风险投资有限责任公司 2020-12-18 CN disclosed
EP-3743069-A1 BCL-2 PROTEINS DEGRADERS FOR CANCER TREATMENT BioVentures, LLC (US) 2020-12-02 EP disclosed
WO-2020168172-A1 CONJUGATE COMPOUNDS FOR THE DEGRADATION OF RAF ZAMBONI CHEM SOLUTIONS INC. (CA) 2020-08-20 WO disclosed
WO-2019144117-A1 BCL-2 PROTEINS DEGRADERS FOR CANCER TREATMENT BIOVENTURES, LLC (US) 2019-07-25 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-12118414-B2 BCL-2 proteins degraders for cancer treatment BCL2, BCL2L1, BCL2L2 CA12 3781/4885CA1 4443/4885CA9 4062/4885
US-20250236607-A1 CYCLIN-DEPENDENT KINASE 9 (CDK9) DEGRADERS AND METHODS OF USING THEREOF CDK9, CDK19, CDKL2 CA12 3413/4885CA1 3914/4885CA9 498/4885

“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.