Sulfosalicylic

Sulfosalicylic

SCHEMBL23359126

C=C1c2c(Cl)ccc(O)c2C(O)=C2C(=O)[C@]3(O)C(=O)/C(=C(/N)O)C(=O)[C@@H](N(C)C)[C@@H]3[C@@H](O)[C@H]12.O=C(O)c1cc(S(=O)(=O)O)ccc1O

nearest known ligand 0.81

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

rplArplBrplCrplDrplErplFrplJrplKrplLrplMrplNrplOrplPrplQrplRrplSrplTrplUrplVrplWrplXrplYrpmArpmBrpmCrpmDrpmErpmFrpmGrpmHrpmIrpmJrpsArpsBrpsCrpsDrpsErpsFrpsGrpsHrpsIrpsJrpsKrpsLrpsMrpsNrpsOrpsPrpsQrpsRrpsSrpsTrpsUykgMykgO

The experimentally established mechanism targets of Sulfosalicylic. The predicted profile below is derived independently by chemical similarity — agreement is a validation signal, a miss is honest.

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
TDP1 Q9NUW8 14/20 0.81
KDM4E B2RXH2 11/20 0.81
MEN1 O00255 9/20 0.81
KMT2A Q03164 9/20 0.81
USP2 O75604 8/20 0.81
HSD17B10 Q99714 8/20 0.81
RECQL P46063 7/20 0.81
ALDH1A1 P00352 7/20 0.81
HPGD P15428 7/20 0.81
THRB P10828 6/20 0.81
MAPT P10636 6/20 0.81
LMNA P02545 4/20 0.81
L3MBTL1 Q9Y468 3/20 0.81
CASP7 P55210 2/20 0.81
CASP1 P29466 1/20 0.81
SMN1; SMN2 Q16637 1/20 0.81
NR1I2 O75469 3/20 0.47
MC4R P32245 1/20 0.47
SIRT5 Q9NXA8 1/20 0.47
POLB P06746 4/20 0.46

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
Sulfosalicylic SCHEMBL29674900 0.90 TDP1 (1.00) TDP1KDM4EMEN1KMT2AUSP2
SCHEMBL1650332 0.88 TDP1 (0.62) TDP1KDM4EMEN1KMT2AUSP2
SCHEMBL12841672 0.88 TDP1 (0.62) TDP1KDM4EMEN1KMT2AUSP2
SCHEMBL3446 0.88 TDP1 (0.62) TDP1KDM4EMEN1KMT2AUSP2
Meclocycline SCHEMBL5849023 0.81 TDP1 (0.77) TDP1KDM4EMEN1KMT2AUSP2
Meclocycline SCHEMBL193563 0.81 TDP1 (0.77) TDP1KDM4EMEN1KMT2AUSP2
Meclocycline SCHEMBL29365199 0.81 TDP1 (0.77) TDP1KDM4EMEN1KMT2AUSP2
SCHEMBL29487299 0.77 TDP1 (0.78) TDP1KDM4EMEN1KMT2AUSP2
SCHEMBL23247761 0.77 TDP1 (0.78) TDP1KDM4EMEN1KMT2AUSP2
SCHEMBL4015 0.76 TDP1 (0.73) TDP1KDM4EMEN1KMT2AUSP2

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-117926640-B Environment-friendly decorative paper and preparation method thereof 浙江锦尚添彩新材料有限公司 2025-05-06 CN disclosed
CN-117926640-A Environment-friendly decorative paper and preparation method thereof 浙江锦尚添彩新材料有限公司 2024-04-26 CN disclosed
US-20210144998-A1 COMPOSITIONS AND METHODS FOR TREATING HUANGLONGBING DISEASE IN CITRUS NEW LIFE CROP SCIENCES LLC 2021-05-20 US disclosed
CN-107823629-A Using application of the tannic acid as a series of compounds of representative in the infection of the Alphaviruses such as anti-chikungunya 天津国际生物医药联合研究院 2018-03-23 CN disclosed
CN-107789358-A Using application of the Traumatociclina as several compounds of representative in the infection of anti-Enterovirus 68 type 天津国际生物医药联合研究院 2018-03-13 CN 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-20210144998-A1 COMPOSITIONS AND METHODS FOR TREATING HUANGLONGBING DISEASE IN CITRUS PNPO, G6PD, AGXT TDP1 476/4885KDM4E 2866/4885MEN1 2523/4885

“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.