N-Acetylglucosamine

N-Acetylglucosamine

SCHEMBL19900502

CC(=O)N[C@H]1C(O)O[C@H](CO)[C@@H](O)[C@@H]1O.O=S(=O)(O)O.O=S(=O)(O)O.O=S(=O)(O)O

nearest known ligand 0.58

Full drug profile on Sugi Atlas →

Known targets — ChEMBL curated mechanism

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

The experimentally established mechanism targets of N-Acetylglucosamine. The predicted profile below is derived independently by chemical similarity — agreement is a validation signal, a miss is honest.

Predicted protein targets (top 14)

geneUniProtsupporting neighboursconfidence
▸ MAPK1 P28482 2/20 0.58
▸ LMNA P02545 2/20 0.56
▸ KDM4E B2RXH2 1/20 0.56
▸ CYP2D6 P10635 1/20 0.56
▸ CYP2C19 P33261 1/20 0.56
▸ ALDH1A1 P00352 2/20 0.52
▸ THRB P10828 1/20 0.52
▸ HK1 P19367 3/20 0.48
▸ HK2 P52789 3/20 0.48
▸ CA1 P00915 1/20 0.47
▸ CA2 P00918 1/20 0.47
▸ CA9 Q16790 1/20 0.47
▸ CD69 Q07108 1/20 0.44
▸ SMN1; SMN2 Q16637 1/20 0.44

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
N-Acetylglucosamine SCHEMBL27041116 1.00 MAPK1 (0.58) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL28064772 1.00 MAPK1 (0.58) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL27491227 1.00 MAPK1 (0.58) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL19900501 1.00 MAPK1 (0.58) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL5466652 1.00 MAPK1 (0.58) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL21073206 1.00 MAPK1 (0.58) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL24276732 0.94 MAPK1 (0.63) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL24105621 0.94 MAPK1 (0.63) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL20842453 0.94 MAPK1 (0.63) MAPK1LMNAKDM4ECYP2D6CYP2C19
N-Acetylglucosamine SCHEMBL25229254 0.94 MAPK1 (0.63) MAPK1LMNAKDM4ECYP2D6CYP2C19

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-112870375-A Multi-channel bionic nano carrier for cutting off tumor energy supply and preparation method and application thereof 西安交通大学 2021-06-01 — — CN claimed
US-11938226-B2 Abiotic anti-VEGF nanoparticle THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2024-03-26 — — US disclosed
US-20230029277-A1 Abiotic Anti-VEGF Nanoparticle MIURA YOSHIKO (JP) 2023-01-26 — — US disclosed
CN-112870375-B Multi-channel bionic nano carrier for cutting off tumor energy supply and preparation method and application thereof 西安交通大学 2022-08-16 — — CN disclosed
CN-112870375-A Multi-channel bionic nano carrier for cutting off tumor energy supply and preparation method and application thereof 西安交通大学 2021-06-01 — — CN disclosed
US-20190216744-A1 Abiotic Anti-VEGF Nanoparticle MIURA YOSHIKO (JP) 2019-07-18 — — US disclosed
WO-2018039509-A1 ABIOTIC ANTI-VEGF NANOPARTICLE THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2018-03-01 — — 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-20230029277-A1 Abiotic Anti-VEGF Nanoparticle VEGFA, KDR, FLT1 MAPK1 2131/4885LMNA 3728/4885KDM4E 2451/4885
US-11938226-B2 Abiotic anti-VEGF nanoparticle VEGFA, KDR, FLT1 MAPK1 2131/4885LMNA 3728/4885KDM4E 2451/4885
US-20190216744-A1 Abiotic Anti-VEGF Nanoparticle VEGFA, KDR, FLT1 MAPK1 2131/4885LMNA 3728/4885KDM4E 2451/4885

“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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