SCHEMBL17372598

SCHEMBL17372598

CN(CCCNC(=O)c1ccc(C(C)(C)C)cc1)Cc1ccccc1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Predicted protein targets (top 6)

geneUniProtsupporting neighboursconfidence
▸ SIGMAR1 Q99720 18/20 1.00
▸ TMEM97 Q5BJF2 16/20 1.00
▸ ACKR3 P25106 2/20 0.76
▸ OPRM1 P35372 1/20 0.69
▸ NPC1 O15118 1/20 0.64
▸ RAB9A P51151 1/20 0.64

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
SCHEMBL17372684 0.90 SIGMAR1 (0.82) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372472 0.89 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL13947507 0.87 SIGMAR1 (0.79) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372403 0.86 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372401 0.86 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372504 0.86 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1NPC1
SCHEMBL13579952 0.85 SIGMAR1 (0.83) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372597 0.84 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372475 0.84 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1
SCHEMBL17372581 0.83 SIGMAR1 (1.00) SIGMAR1TMEM97ACKR3OPRM1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3154934-B1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIV LILLE (FR) 2021-04-14 — — EP claimed
US-20210040034-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIV LILLE II DROIT & SANTE (FR) 2021-02-11 — — US claimed
CN-106795100-B Compound, pharmaceutical composition and its purposes in treatment neurodegenerative disease 里尔大学 2019-11-19 — — CN claimed
US-20190092721-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIVERSITE DE LILLE 2 DROIT ET SANTE (FR) 2019-03-28 — — US claimed
EP-3154934-B1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIV LILLE (FR) 2021-04-14 — — EP disclosed
US-20210040034-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIV LILLE II DROIT & SANTE (FR) 2021-02-11 — — US disclosed
US-10844008-B2 Compounds, pharmaceutical composition and their use in treating neurodegenerative diseases UNIVERSITE DE LILLE 2 DROIT ET SANTE (FR) 2020-11-24 — — US disclosed
CN-106795100-B Compound, pharmaceutical composition and its purposes in treatment neurodegenerative disease 里尔大学 2019-11-19 — — CN disclosed
US-20190092721-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIVERSITE DE LILLE 2 DROIT ET SANTE (FR) 2019-03-28 — — US disclosed
US-10179761-B2 Compounds, pharmaceutical composition and their use in treating neurodegenerative diseases UNIVERSITE DE LILLE 2 DROIT ET SANTE (FR) 2019-01-15 — — US disclosed
US-20170107174-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIVERSITE DE LILLE (FR) 2017-04-20 — — US disclosed
EP-3154934-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES Université de Lille 2 Droit et Santé (FR) 2017-04-19 — — EP disclosed
WO-2015193255-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES UNIVERSITE DE LILLE 2 DROIT ET SANTE (FR) 2015-12-23 — — 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 (5 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-20210040034-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES MAPT, PSEN2, SNCA SIGMAR1 1439/4885TMEM97 2094/4885ACKR3 4070/4885
US-10844008-B2 Compounds, pharmaceutical composition and their use in treating neurodegenerative diseases MAPT, PSEN2, SNCA SIGMAR1 1439/4885TMEM97 2094/4885ACKR3 4070/4885
US-20170107174-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES MAPT, PSEN2, SNCA SIGMAR1 1439/4885TMEM97 2094/4885ACKR3 4070/4885
US-20190092721-A1 COMPOUNDS, PHARMACEUTICAL COMPOSITION AND THEIR USE IN TREATING NEURODEGENERATIVE DISEASES MAPT, PSEN2, SNCA SIGMAR1 1439/4885TMEM97 2094/4885ACKR3 4070/4885
US-10179761-B2 Compounds, pharmaceutical composition and their use in treating neurodegenerative diseases MAPT, PSEN2, SNCA SIGMAR1 1439/4885TMEM97 2094/4885ACKR3 4070/4885

“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.

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