SCHEMBL14352035

SCHEMBL14352035

C[N+](C)(C)CCCCC(=O)[O-]

nearest known ligand 0.56

Predicted protein targets (top 18)

geneUniProtsupporting neighboursconfidence
BBOX1 O75936 8/20 0.56
ACHE P22303 3/20 0.52
CA1 P00915 1/20 0.48
MEN1 O00255 4/20 0.48
KMT2A Q03164 4/20 0.48
APEX1 P27695 3/20 0.48
NFKB1 P19838 2/20 0.48
KDM4E B2RXH2 2/20 0.48
SMN1; SMN2 Q16637 2/20 0.48
PMP22 Q01453 2/20 0.48
LMNA P02545 1/20 0.48
HSD17B10 Q99714 1/20 0.48
HRH3 Q9Y5N1 1/20 0.48
TSHR P16473 1/20 0.48
RAB9A P51151 1/20 0.48
APOBEC3A P31941 1/20 0.47
APOBEC3G Q9HC16 1/20 0.47
NPSR1 Q6W5P4 1/20 0.46

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
SCHEMBL233637 0.92 BBOX1 (0.64) BBOX1ACHECA1MEN1KMT2A
Hexanoate SCHEMBL5574422 0.91 CA1 (0.58) BBOX1CA1
Hydrochloric Acid SCHEMBL25181735 0.90 BBOX1 (0.61) BBOX1ACHECA1MEN1KMT2A
Decanoic Acid SCHEMBL5573520 0.89 DNM1 (0.60) CA1
Decanoic Acid SCHEMBL5573560 0.89 DNM1 (0.60) CA1
Adipic Acid SCHEMBL17435040 0.89 DNM1 (0.60) CA1
Adipic Acid SCHEMBL8163652 0.89 DNM1 (0.60) CA1
Stearic Acid SCHEMBL4942597 0.89 DNM1 (0.60) CA1
Octanoic Acid SCHEMBL5574961 0.89 DNM1 (0.60) CA1
Decanoic Acid SCHEMBL5573592 0.89 DNM1 (0.60) CA1

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-20260002950-A1 Uses of 5-Aminovaleric Acid Betaine and Compositions Related Thereto UNIV EMORY (US) 2026-01-01 US disclosed
US-20230384327-A1 GUT MICROBIOTA-RELATED METHODS FOR TREATING DEMENTIA AND AGE-DEPENDENT COGNITIVE DECLINE ALBERT-LUDWIGS-UNIVERSITAT FREIBURG (DE) 2023-11-30 US disclosed
US-20230384327-A1 GUT MICROBIOTA-RELATED METHODS FOR TREATING DEMENTIA AND AGE-DEPENDENT COGNITIVE DECLINE ALBERT-LUDWIGS-UNIVERSITAT FREIBURG (DE) 2023-11-30 US disclosed
US-20230072788-A1 Uses of 5-Aminovaleric Acid Betaine and Compositions Related Thereto UNIV EMORY (US) 2023-03-09 US disclosed
EP-4081804-A1 GUT MICROBIOTA-RELATED METHODS FOR TREATING DEMENTIA AND AGE-DEPENDENT COGNITIVE DECLINE Albert-Ludwigs-Universität Freiburg (DE) 2022-11-02 EP disclosed
EP-3879272-A1 GUT MICROBIOTA-RELATED METHODS FOR TREATING DEMENTIA AND AGE-DEPENDENT COGNITIVE DECLINE Albert-Ludwigs-Universität Freiburg (DE) 2021-09-15 EP disclosed
WO-2021130267-A1 GUT MICROBIOTA-RELATED METHODS FOR TREATING DEMENTIA AND AGE-DEPENDENT COGNITIVE DECLINE ALBERT-LUDWIGS-UNIVERSITÄT FREIBURG (DE) 2021-07-01 WO disclosed
US-20130005806-A1 ANALYSIS OF TMLHE AND CARNITINE BIOSYNTHESIS FOR AUTISM DIAGNOSIS BEAUDET ARTHUR L (US) 2013-01-03 US disclosed
CN-102781922-A TGR5 agonists EXELIXIS INC 2012-11-14 CN 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 (2 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-20260002950-A1 Uses of 5-Aminovaleric Acid Betaine and Compositions Related Thereto CPT1B, SLC10A2, TNNT2 BBOX1 165/4885ACHE 464/4885CA1 1109/4885
US-20130005806-A1 ANALYSIS OF TMLHE AND CARNITINE BIOSYNTHESIS FOR AUTISM DIAGNOSIS SLC25A20, CRAT, BHMT BBOX1 40/4885ACHE 2316/4885CA1 1280/4885

“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.