SCHEMBL18165688

SCHEMBL18165688

CC(C)=CCC[C@]1(C)O[C@H]1CCl

nearest known ligand 0.59

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
▸ LSS P48449 8/20 0.34
▸ CNR2 P34972 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
SCHEMBL11739938 1.00 LSS (0.34) LSSCNR2
SCHEMBL310618 0.83 LSS (0.35) LSSCNR2
SCHEMBL14518213 0.83 LSS (0.35) LSSCNR2
SCHEMBL15164669 0.83 LSS (0.35) LSSCNR2
SCHEMBL9650230 0.83 LSS (0.35) LSSCNR2
SCHEMBL11001883 0.83 LSS (0.35) LSSCNR2
SCHEMBL10629087 0.83 LSS (0.35) LSSCNR2
SCHEMBL17706519 0.81 LSS (0.34) LSSCNR2
SCHEMBL11342582 0.81 LSS (0.34) LSSCNR2
SCHEMBL17705183 0.81 LSS (0.34) LSSCNR2

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3649133-B1 ENGLERIN DERIVATIVES FOR TREATMENT OF CANCER US HEALTH (US) 2022-02-23 — — EP disclosed
US-20200140451-A1 ENGLERIN DERIVATIVES FOR TREATMENT OF CANCER THE UNITED STATES OF AMERICA,AS REPRESENTED BY THE SECRETARY,DEPARTMENT OF HEALTH AND HUMAN SERVICES (US) 2020-05-07 — — US disclosed
US-20200140451-A1 ENGLERIN DERIVATIVES FOR TREATMENT OF CANCER THE UNITED STATES OF AMERICA,AS REPRESENTED BY THE SECRETARY,DEPARTMENT OF HEALTH AND HUMAN SERVICES (US) 2020-05-07 — — US disclosed
EP-3283489-B1 EPOXYAZULENE DERIVATIVES USEFUL FOR TREATING CANCER US HEALTH (US) 2019-08-21 — — EP disclosed
US-10287297-B2 Epoxyazulene derivatives useful for treating cancer and diabetes THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES (US) 2019-05-14 — — US disclosed
WO-2019010298-A1 ENGLERIN DERIVATIVES FOR TREATMENT OF CANCER THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES (US) 2019-01-10 — — WO disclosed
US-20180127433-A1 EPOXYAZULENE DERIVATIVES USEFUL FOR TREATING CANCER AND DIABETES THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN (US) 2018-05-10 — — US disclosed
US-20180127433-A1 EPOXYAZULENE DERIVATIVES USEFUL FOR TREATING CANCER AND DIABETES THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN (US) 2018-05-10 — — US disclosed
WO-2016168281-A1 EPOXYAZULENE DERIVATIVES USEFUL FOR TREATING CANCER AND DIABETES THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES (US) 2016-10-20 — — 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-10287297-B2 Epoxyazulene derivatives useful for treating cancer and diabetes ESRRA, ESRRB, ESRRG LSS 739/4885CNR2 1429/4885
US-20180127433-A1 EPOXYAZULENE DERIVATIVES USEFUL FOR TREATING CANCER AND DIABETES ESRRA, ESRRB, ESRRG LSS 739/4885CNR2 1429/4885
US-20200140451-A1 ENGLERIN DERIVATIVES FOR TREATMENT OF CANCER XPO5, ATP6V1B1, ENTPD5 LSS 2603/4885CNR2 160/4885

“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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