SCHEMBL176044

SCHEMBL176044

C=CCc1cc(O)c2ccccc2n1

nearest known ligand 0.42

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
MYC P01106 1/20 0.41
MAX P61244 1/20 0.41
KDM4E B2RXH2 3/20 0.38
XDH P47989 1/20 0.37
ALDH1A1 P00352 2/20 0.36
RAB9A P51151 1/20 0.36
TRPM4 Q8TD43 1/20 0.36
GABRA1 P14867 2/20 0.36
GABRB2 P47870 2/20 0.36
MEN1 O00255 2/20 0.36
KMT2A Q03164 2/20 0.36
ALDH2 P05091 1/20 0.36
GAA P10253 1/20 0.36
MAPT P10636 1/20 0.36
AKR1B1 P15121 1/20 0.36
HPGD P15428 1/20 0.36
CNR1 P21554 1/20 0.36
CNR2 P34972 1/20 0.36
PPARG P37231 1/20 0.36
PPARD Q03181 1/20 0.36

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
SCHEMBL15648557 0.83 KDM4E (0.38) KDM4EALDH1A1RAB9AMEN1KMT2A
SCHEMBL29376725 0.80 NCF1 (0.50) KDM4EALDH1A1RAB9AMEN1KMT2A
SCHEMBL461111 0.80 NCF1 (0.50) KDM4EALDH1A1RAB9AMEN1KMT2A
SCHEMBL4048229 0.77 POLB (0.48) MYCMAXKDM4EALDH1A1TRPM4
SCHEMBL5421698 0.76 LMNA (0.53) KDM4EALDH1A1MEN1KMT2AMAPT
SCHEMBL4264710 0.76 KDM4E (0.46) MYCMAXKDM4EALDH1A1RAB9A
SCHEMBL472912 0.75 MEN1 (0.42) KDM4EALDH1A1RAB9AGABRA1GABRB2
SCHEMBL27311485 0.75 MEN1 (0.48) MYCMAXKDM4EALDH1A1MEN1
SCHEMBL7420683 0.75 KDM4E (0.65) MYCMAXKDM4EALDH1A1MEN1
SCHEMBL8600823 0.74 KMT2A (0.43) ALDH1A1RAB9AMEN1KMT2AMAPT

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 205 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
WO-2018195536-A1 ANTIBACTERIAL COMPOUNDS YU SHEN (US) 2018-10-25 WO claimed
US-8906602-B2 Methods for identifying candidate compounds for treating, reducing, or preventing pathogenic infections THE GENERAL HOSPITAL CORPORATION (US) 2014-12-09 US claimed
US-20140018312-A1 STEROID ALKALOIDS AND USES THEREOF AS ANTIMICROBIAL AGENTS AGAINST ELECTRON TRANSPORT-DEFICIENT MICROBES AND AS POTENTIATORS FOR ANTIMICROBIAL AGENTS AGAINST PATHOGENIC BACTERIA SOCPRA SCIENCES ET GENIE, S.E.C. (CA) 2014-01-16 US claimed
EP-2675822-A1 STEROID ALKALOIDS AND USES THEREOF AS ANTIMICROBIAL AGENTS AGAINST ELECTRON TRANSPORT-DEFICIENT MICROBES AND AS POTENTIATORS FOR ANTIMICROBIAL AGENTS AGAINST PATHOGENIC BACTERIA Socpra-Sciences Et Génie S.E.C. (CA) 2013-12-25 EP claimed
WO-2012109752-A1 STEROID ALKALOIDS AND USES THEREOF AS ANTIMICROBIAL AGENTS AGAINST ELECTRON TRANSPORT-DEFICIENT MICROBES AND AS POTENTIATORS FOR ANTIMICROBIAL AGENTS AGAINST PATHOGENIC BACTERIA SOCPRA SCIENCES ET GÉNIE, S.E.C. (CA) 2012-08-23 WO claimed
US-20080207673-A1 Method for Treating Cancer, Coronary, Inflammatory and Macular Disease, Combining the Modulation of Zinc-and/or Copper Dependent Proteins XILINAS MICHEL 2008-08-28 US claimed
US-20070292851-A1 Methods for Identifying Candidate Compounds for Treating, Reducing, or Preventing Pathogenic Infections THE GENERAL HOSPITAL CORPORATION 2007-12-20 US claimed
US-20070099889-A1 Use of pseudan and pseudan inclusion bodies GEORGE MASON INTELLECTUAL PROPERTIES, INC. 2007-05-03 US claimed
WO-2007008769-A2 USE OF PSEUDAN AND PSEUDAN INCLUSION BODIES GEORGE MASON UNIVERSITY (US) 2007-01-18 WO claimed
WO-2006117660-A2 METHOD FOR TREATING CANCER, CORONARY, INFLAMMATORY AND MACULAR DISEASE, COMBINING THE MODULATION OF ZINC- AND/OR COPPER DEPENDENT PROTEINS CLIO PHARMACEUTICAL CORPORATION (US) 2006-11-09 WO claimed
WO-2005069989-A2 METHODS FOR IDENTIFYING CANDIDATE COMPOUNDS FOR TREATING, REDUCING, OR PREVENTING PATHOGENIC INFECTIONS THE GENERAL HOSPITAL CORPORATION (US) 2005-08-04 WO claimed
US-20030109548-A1 Compositions and methods of treating iron excess ROYT PAULETTE W (US) 2003-06-12 US claimed
WO-2003041709-A1 COMPOSITIONS AND METHODS OF TREATING IRON EXCESS GEORGE MASON UNIVERSITY (US) 2003-05-22 WO claimed
WO-2024148322-A1 METHODS AND COMPOSITIONS FOR THE TREATMENT OF HEARING DISORDERS GATEWAY BIOTECHNOLOGY, INC. (US) 2024-07-11 WO disclosed
US-20240218373-A1 METHODS AND COMPOSITIONS FOR TREATING NEUROINFLAMMATION AIM IMMUNOTECH INC. (US) 2024-07-04 US disclosed
EP-4388101-A1 COMPOSITIONS AND METHODS FOR TREATING POST-COVID CONDITIONS OF FATIGUE AIM ImmunoTech Inc. (US) 2024-06-26 EP disclosed
WO-2003037259-A2 METHODS FOR THE PREVENTION OR TREATMENT OF BACTERIAL AND FUNGAL INFECTIONS THE GENERAL HOSPITAL CORPORATION (US) 2003-05-08 WO disclosed
WO-2003000018-A2 DOPAMINE AGONIST FORMULATIONS FOR ENHANCED CENTRAL NERVOUS SYSTEM DELIVERY NASTECH PHARMACEUTICAL COMPANY, INC. (US) 2003-01-03 WO disclosed
WO-2002051415-A2 USE OF SEQUESTRANTS FOR TREATING PRION DISEASES XILINAS MICHEL (CY) 2002-07-04 WO disclosed
WO-1995028929-A1 AMINOLINE-N-OXIDE ANTIMICROBIALS FOR USE AGAINST H. PYLORI INFECTIONS RPMS TECHNOLOGY LIMITED (GB) 1995-11-02 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-20140018312-A1 STEROID ALKALOIDS AND USES THEREOF AS ANTIMICROBIAL AGENTS AGAINST ELECTRON TRANSPORT-DEFICIENT MICROBES AND AS POTENTIATORS FOR ANTIMICROBIAL AGENTS AGAINST PATHOGENIC BACTERIA TOMM70, TIMM50, TIMM10 MYC 2471/4885MAX 4280/4885KDM4E 4417/4885
US-20070099889-A1 Use of pseudan and pseudan inclusion bodies MMP8, ETF1, MMP1 MYC 969/4885MAX 2093/4885KDM4E 3129/4885
US-20240218373-A1 METHODS AND COMPOSITIONS FOR TREATING NEUROINFLAMMATION ELAVL1, ELAVL3, SYNCRIP MYC 2223/4885MAX 3967/4885KDM4E 2811/4885

“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.