Natural Product: NPC263545

Natural Product IDNPC263545
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
1-O-Beta-Dglucopyranosyl-(2S,3R,4E,8E)-2-[(2'r)-Hydroxyicosanoyl-Amino]-4, 8-Octadecadiene-1,3-Diol
IUPAC Name (2R)-2-hydroxy-N-[(2S,3R,4E,8E)-3-hydroxy-1-[(2R,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxyoctadeca-4,8-dien-2-yl]icosanamide
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3121696
PubChem CID 10771481
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000257] Sphingolipids
        • [CHEMONTID:0003258] Glycosphingolipids
          • [CHEMONTID:0001419] Neutral glycosphingolipids
            • [CHEMONTID:0001428] Simple glycosylceramides
              • [CHEMONTID:0004305] Glycosyl-N-acylsphingosines

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey DCBUKXJYPRDHOR-FCZHZXJDSA-N
Standard InCHI InChI=1S/C44H83NO9/c1-3-5-7-9-11-13-15-17-18-19-21-23-25-27-29-31-33-38(48)43(52)45-36(35-53-44-42(51)41(50)40(49)39(34-46)54-44)37(47)32-30-28-26-24-22-20-16-14-12-10-8-6-4-2/h22,24,30,32,36-42,44,46-51H,3-21,23,25-29,31,33-35H2,1-2H3,(H,45,52)/b24-22+,32-30+/t36-,37+,38+,39+,40+,41-,42+,44+/m0/s1
SMILES CCCCCCCCCCCCCCCCCC[C@H](C(=N[C@H]([C@@H](/C=C/CC/C=C/CCCCCCCCC)O)CO[C@@H]1O[C@H](CO)[C@H]([C@@H]([C@H]1O)O)O)O)O

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO12583 Sauromatum giganteum Species Araceae Eukaryota n.a. n.a. n.a. PMID[28394604]
NPO28204 Arisaema amurense Species Araceae Eukaryota n.a. n.a. n.a. PMID[8882436]
NPO28204 Arisaema amurense Species Araceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12583 Sauromatum giganteum Species Araceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28204 Arisaema amurense Species Araceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO12583 Sauromatum giganteum Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28204 Arisaema amurense Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT681 Cell line PC-12 Rattus norvegicus EC50 = 12400.0 nM PMID[28394604]
NPT2 Others Unspecified n.a. FC = 3.12 n.a. PMID[24556145]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC263545 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
1.0 High Similarity NPC473950
1.0 High Similarity NPC111567
1.0 High Similarity NPC186840
1.0 High Similarity NPC144916
1.0 High Similarity NPC486421
1.0 High Similarity NPC309898
1.0 High Similarity NPC273493
1.0 High Similarity NPC475125
1.0 High Similarity NPC486419
1.0 High Similarity NPC15851
1.0 High Similarity NPC115448
1.0 High Similarity NPC20819
1.0 High Similarity NPC486418
1.0 High Similarity NPC473604
1.0 High Similarity NPC486420
1.0 High Similarity NPC479188
1.0 High Similarity NPC81468
0.95 High Similarity NPC158445
0.95 High Similarity NPC157353
0.95 High Similarity NPC282088
0.9333 High Similarity NPC156782
0.9333 High Similarity NPC54961
0.8689 High Similarity NPC282705
0.8689 High Similarity NPC182632
0.8636 High Similarity NPC8098
0.8636 High Similarity NPC183449
0.8636 High Similarity NPC197294
0.8308 Intermediate Similarity NPC3568
0.8308 Intermediate Similarity NPC17290
0.8308 Intermediate Similarity NPC192066
0.8308 Intermediate Similarity NPC256570
0.8095 Intermediate Similarity NPC242503
0.8065 Intermediate Similarity NPC61894
0.8065 Intermediate Similarity NPC297079
0.7778 Intermediate Similarity NPC43074
0.7778 Intermediate Similarity NPC139782
0.7778 Intermediate Similarity NPC74672
0.7778 Intermediate Similarity NPC209047
0.7536 Intermediate Similarity NPC23454
0.7536 Intermediate Similarity NPC70323
0.7536 Intermediate Similarity NPC262312
0.7536 Intermediate Similarity NPC35269
0.7429 Intermediate Similarity NPC45313
0.6892 Remote Similarity NPC201128
0.589 Remote Similarity NPC473581
0.5753 Remote Similarity NPC602861
0.5574 Remote Similarity NPC288086
0.5541 Remote Similarity NPC475603
0.5541 Remote Similarity NPC600808
0.5352 Remote Similarity NPC488689
0.5217 Remote Similarity NPC469469
0.5135 Remote Similarity NPC21693
0.5062 Remote Similarity NPC604736

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC263545 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.7778 Intermediate Similarity NPD8522 Clinical (unspecified phase)

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data