SCHEMBL17336970

SCHEMBL17336970

CC(=O)CCC(=O)NC1Cc2cc(F)c(F)c(C(=O)O)c2OB1O

nearest known ligand 0.37

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
▸ CAT P04040 1/20 0.33
▸ ACKR3 P25106 1/20 0.30

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
SCHEMBL17336968 1.00 CAT (0.33) CATACKR3
SCHEMBL23129937 0.91 CAT (0.34) CAT
SCHEMBL17347659 0.91 CAT (0.34) CAT
SCHEMBL23837339 0.89 — —
SCHEMBL17347840 0.88 CAT (0.35) CAT
SCHEMBL23130211 0.88 CAT (0.35) CAT
SCHEMBL17347797 0.87 CAT (0.37) CAT
SCHEMBL17337495 0.86 CAT (0.43) CATACKR3
SCHEMBL17337497 0.86 CAT (0.43) CATACKR3
SCHEMBL17337374 0.86 CAT (0.32) CAT

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3882252-B1 BETA-LACTAMASE INHIBITORS VENATORX PHARMACEUTICALS INC (US) 2025-11-19 — — EP disclosed
EP-3882252-A1 BETA-LACTAMASE INHIBITORS Venatorx Pharmaceuticals, Inc. (US) 2021-09-22 — — EP disclosed
US-11008346-B2 Beta-lactamase inhibitors VenatoRx Pharmaceuticals, Inc. (US) 2021-05-18 — — US disclosed
EP-3154989-B1 BETA-LACTAMASE INHIBITORS VENATORX PHARMACEUTICALS INC (US) 2021-03-24 — — EP disclosed
EP-3154989-B1 BETA-LACTAMASE INHIBITORS VENATORX PHARMACEUTICALS INC (US) 2021-03-24 — — EP disclosed
US-20200361962-A1 BETA-LACTAMASE INHIBITORS NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2020-11-19 — — US disclosed
US-9926336-B2 Beta-lactamase inhibitors VENATORX PHARMACEUTICALS (US) 2018-03-27 — — US disclosed
US-20170342092-A1 BETA-LACTAMASE INHIBITORS NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2017-11-30 — — US disclosed
US-9783555-B2 Beta-lactamase inhibitors VenatoRx Pharmaceuticals, Inc. (US) 2017-10-10 — — US disclosed
US-20170226135-A1 BETA-LACTAMASE INHIBITORS NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2017-08-10 — — US disclosed
US-9637504-B2 Beta-lactamase inhibitors VenatoRx Pharmaceuticals, Inc. (US) 2017-05-02 — — US disclosed
EP-3154989-A1 BETA-LACTAMASE INHIBITORS Venatorx Pharmaceuticals, Inc. (US) 2017-04-19 — — EP disclosed
US-20160264598-A1 BETA-LACTAMASE INHIBITORS NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2016-09-15 — — US disclosed
WO-2015191907-A1 BETA-LACTAMASE INHIBITORS VenatoRx Pharmaceuticals, Inc. (US) 2015-12-17 — — 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-11008346-B2 Beta-lactamase inhibitors MGAM, GAA, LCT CAT 81/4885ACKR3 4854/4885
US-20170342092-A1 BETA-LACTAMASE INHIBITORS MGAM, GAA, LCT CAT 81/4885ACKR3 4854/4885
US-20200361962-A1 BETA-LACTAMASE INHIBITORS MGAM, GAA, LCT CAT 81/4885ACKR3 4854/4885
US-20170226135-A1 BETA-LACTAMASE INHIBITORS MGAM, GAA, LCT CAT 81/4885ACKR3 4854/4885
US-20160264598-A1 BETA-LACTAMASE INHIBITORS MGAM, GAA, LCT CAT 81/4885ACKR3 4854/4885

“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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