SCHEMBL4443016

SCHEMBL4443016

CCCCCC1OC1CCCCCCC/C=C\CCCC(=O)O

nearest known ligand 0.72

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
TOP1 P11387 3/20 0.70
MAPT P10636 4/20 0.69
PPARG P37231 5/20 0.67
PPARD Q03181 4/20 0.67
PPARA Q07869 4/20 0.67
TERT O14746 3/20 0.67
PTPN1 P18031 3/20 0.67
BLM P54132 3/20 0.67
HSD17B10 Q99714 3/20 0.67
FABP4 P15090 3/20 0.67
USP2 O75604 2/20 0.67
LMNA P02545 2/20 0.67
ALOX15 P16050 2/20 0.67
RECQL P46063 2/20 0.67
CYP19A1 P11511 2/20 0.67
NR4A2 P43354 2/20 0.67
KMT2A Q03164 2/20 0.67
TDP1 Q9NUW8 2/20 0.67
F7 P08709 2/20 0.67
F3 P13726 2/20 0.67

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
SCHEMBL29497770 1.00 TOP1 (0.70) TOP1MAPTPPARGPPARDPPARA
SCHEMBL3750682 0.93 MAPT (0.77) TOP1MAPTPPARGPPARDPPARA
SCHEMBL15808604 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL2228910 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL15287028 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL2566928 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL55116 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL2228907 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL3679458 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA
SCHEMBL3507735 0.91 MAPT (0.75) TOP1MAPTPPARGPPARDPPARA

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
US-11135187-B2 Compositions and methods for treating diabetic retinopathy NATIONAL INSTITUTES OF HEALTH (NIH) (US) 2021-10-05 US claimed
US-20090069418-A1 Compositions and Methods for the Treatment of Disorders Associated with Aberrant Vasodilation NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2009-03-12 US claimed
US-20230123863-A1 A GLIA CELL AND NEURON CO-CULTURE SYSTEM AND METHOD UNIV NAT YANG MING (TW) 2023-04-20 US disclosed
WO-2022005463-A1 A GLIA CELL AND NEURON CO-CULTURE SYSTEM AND METHOD NATIONAL YANG-MING UNIVERSITY (TW) 2022-01-06 WO disclosed
US-11135187-B2 Compositions and methods for treating diabetic retinopathy NATIONAL INSTITUTES OF HEALTH (NIH) (US) 2021-10-05 US disclosed
US-20090069418-A1 Compositions and Methods for the Treatment of Disorders Associated with Aberrant Vasodilation NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2009-03-12 US disclosed
US-20080095711-A1 Modulators of Pulmonary Hypertension NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2008-04-24 US disclosed
US-20080095711-A1 Modulators of Pulmonary Hypertension NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2008-04-24 US disclosed
US-20080095711-A1 Modulators of Pulmonary Hypertension NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2008-04-24 US 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 (1 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-20080095711-A1 Modulators of Pulmonary Hypertension HIF1AN, PTGIS, PTGIR TOP1 4192/4885MAPT 4856/4885PPARG 296/4885

“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.