SCHEMBL27192131

SCHEMBL27192131

O=c1[nH]c2cc(Br)sc2c(=O)n1-c1cncc2cccc(F)c12

nearest known ligand 0.35

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ FEN1 P39748 2/20 0.35
▸ PKM P14618 2/20 0.33
▸ ERCC5 P28715 1/20 0.32
▸ GABRP O00591 3/20 0.32
▸ GABRD O14764 3/20 0.32
▸ GABRA1 P14867 3/20 0.32
▸ GABRB1 P18505 3/20 0.32
▸ GABRG2 P18507 3/20 0.32
▸ GABRB3 P28472 3/20 0.32
▸ GABRA5 P31644 3/20 0.32
▸ GABRA3 P34903 3/20 0.32
▸ GABRA2 P47869 3/20 0.32
▸ GABRB2 P47870 3/20 0.32
▸ GABRA4 P48169 3/20 0.32
▸ GABRE P78334 3/20 0.32
▸ GABRA6 Q16445 3/20 0.32
▸ GABRG1 Q8N1C3 3/20 0.32
▸ GABRG3 Q99928 3/20 0.32
▸ GABRQ Q9UN88 3/20 0.32
▸ HTT P42858 2/20 0.32

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
SCHEMBL27191767 0.83 CYP11B1 (0.40) FEN1PKMERCC5HTTKDM4E
Hydrochloric Acid SCHEMBL27192409 0.82 CYP11B1 (0.39) FEN1ERCC5HTTKDM4E
SCHEMBL27192061 0.80 CYP1A2 (0.32) FEN1ERCC5GABRPGABRDGABRA1
SCHEMBL27192112 0.80 FEN1 (0.36) FEN1PKMGABRPGABRDGABRA1
SCHEMBL27381831 0.77 GNRHR (0.36) FEN1PKMERCC5GNRHRMALT1
SCHEMBL27192251 0.77 EGLN3 (0.37) FEN1PKMERCC5HTTGNRHR
SCHEMBL27192070 0.76 KDM4E (0.32) KDM4EALDH1A1GAAHPGD
SCHEMBL27192146 0.75 ALDH1A1 (0.47) PKMHTTGNRHRKDM4EALDH1A1
SCHEMBL27192281 0.74 ERCC5 (0.32) FEN1ERCC5
SCHEMBL30033508 0.74 HSP90AA1 (0.43) TSHRKDM4E

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-12410183-B2 Sars-cov2 main protease inhibitors GILEAD SCIENCES, INC. (US) 2025-09-09 — — US disclosed
EP-4565574-A1 SARS-COV2 MAIN PROTEASE INHIBITORS GILEAD SCIENCES, INC. (US) 2025-06-11 — — EP disclosed
CN-119731159-A SARS-CoV2 main proteinase inhibitor 吉利德科学公司 2025-03-28 — — CN disclosed
US-20250042915-A1 SARS-COV2 MAIN PROTEASE INHIBITORS GILEAD SCIENCES, INC. 2025-02-06 — — US disclosed
US-12091420-B2 SARS-COV2 main protease inhibitors GILEAD SCIENCES, INC. (US) 2024-09-17 — — US disclosed
US-20240239807-A1 SARS-COV2 MAIN PROTEASE INHIBITORS GILEAD SCIENCES, INC. 2024-07-18 — — US disclosed
US-20240116946-A1 SARS-COV2 MAIN PROTEASE INHIBITORS GILEAD SCIENCES, INC. 2024-04-11 — — US disclosed
WO-2024031089-A1 SARS-COV2 MAIN PROTEASE INHIBITORS GILEAD SCIENCES, INC. (US) 2024-02-08 — — 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-20250042915-A1 SARS-COV2 MAIN PROTEASE INHIBITORS ACE2, TMPRSS2, ACE FEN1 1012/4885PKM 2848/4885ERCC5 2042/4885
US-12091420-B2 SARS-COV2 main protease inhibitors ACE2, TMPRSS2, ACE FEN1 1012/4885PKM 2848/4885ERCC5 2042/4885
US-20240116946-A1 SARS-COV2 MAIN PROTEASE INHIBITORS ACE2, TMPRSS2, ACE FEN1 1012/4885PKM 2848/4885ERCC5 2042/4885
US-12410183-B2 Sars-cov2 main protease inhibitors ACE2, TMPRSS2, ACE FEN1 1012/4885PKM 2848/4885ERCC5 2042/4885
US-20240239807-A1 SARS-COV2 MAIN PROTEASE INHIBITORS ACE2, TMPRSS2, ACE FEN1 1012/4885PKM 2848/4885ERCC5 2042/4885

“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.

Send feedback