Sugi Predict

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SCHEMBL22307226

SCHEMBL22307226

Cc1c(Br)cccc1-c1nc2cc(C(=O)O)cc(I)c2[nH]1

nearest known ligand 0.36

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ CDK9 P50750 2/20 0.36
▸ DYRK1A Q13627 2/20 0.36
▸ DYRK2 Q92630 2/20 0.36
▸ DYRK1B Q9Y463 2/20 0.36
▸ RAB9A P51151 3/20 0.36
▸ NPC1 O15118 2/20 0.36
▸ POLB P06746 2/20 0.36
▸ MEN1 O00255 1/20 0.36
▸ KMT2A Q03164 1/20 0.36
▸ TDP1 Q9NUW8 3/20 0.35
▸ HSP90AA1 P07900 1/20 0.35
▸ ESR2 Q92731 1/20 0.35
▸ F2 P00734 1/20 0.35
▸ F10 P00742 1/20 0.35
▸ PLG P00747 1/20 0.35
▸ PLAU P00749 1/20 0.35
▸ PLAT P00750 1/20 0.35
▸ PRSS1 P07477 1/20 0.35
▸ KDM4E B2RXH2 2/20 0.34
▸ HPGD P15428 2/20 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
SCHEMBL29473228 1.00 CDK9 (0.36) CDK9DYRK1ADYRK2DYRK1BRAB9A
SCHEMBL29473086 0.89 MMP2 (0.39) RAB9ANPC1F2F10PLG
SCHEMBL31521803 0.89 MMP2 (0.39) RAB9ANPC1F2F10PLG
SCHEMBL22307190 0.89 MMP2 (0.39) RAB9ANPC1F2F10PLG
SCHEMBL22307222 0.81 HPGD (0.34) RAB9ANPC1F2F10PLG
SCHEMBL29473070 0.81 HPGD (0.34) RAB9ANPC1F2F10PLG
SCHEMBL22307703 0.77 SIRT2 (0.43) RAB9ANPC1MEN1KMT2AF2
SCHEMBL22308214 0.71 HPGD (0.36) RAB9ANPC1F2F10PLG
SCHEMBL22308215 0.67 EGFR (0.33) DYRK1ARAB9ANPC1F2F10
SCHEMBL29473089 0.67 EGFR (0.33) DYRK1ARAB9ANPC1F2F10

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
US-20250223286-A1 IMMUNOMODULATORS, COMPOSITIONS AND METHODS THEREOF BETTA PHARMACEUTICALS CO.,LTD (CN) 2025-07-10 — — US disclosed
US-12187713-B2 Immunomodulators, compositions and methods thereof BETTA PHARMACEUTICALS CO., LTD (CN) 2025-01-07 — — US disclosed
US-20220098183-A1 IMMUNOMODULATORS, COMPOSITIONS AND METHODS THEREOF BETTA PHARMACEUTICALS CO LTD (CN) 2022-03-31 — — US disclosed
CN-113365995-A Immunomodulator, composition and method thereof 贝达药业股份有限公司 2021-09-07 — — CN disclosed
WO-2020156323-A1 IMMUNOMODULATORS, COMPOSITIONS AND METHODS THEREOF BETTA PHARMACEUTICALS CO., LTD (CN) 2020-08-06 — — 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 (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-20250223286-A1 IMMUNOMODULATORS, COMPOSITIONS AND METHODS THEREOF IL2, IL5, TSLP CDK9 3033/4885DYRK1A 4871/4885DYRK2 4826/4885
US-20220098183-A1 IMMUNOMODULATORS, COMPOSITIONS AND METHODS THEREOF IL2, TSLP, CD74 CDK9 2743/4885DYRK1A 4857/4885DYRK2 4797/4885
US-12187713-B2 Immunomodulators, compositions and methods thereof IL2, TSLP, CD74 CDK9 2743/4885DYRK1A 4857/4885DYRK2 4797/4885

“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.