Natural Product: NPC25292

Natural Product IDNPC25292
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Fortuneanoside E
IUPAC Name (2S,3R,4S,5S,6R)-2-[2-hydroxy-4-(4-hydroxy-3,5-dimethoxyphenyl)phenoxy]-6-(hydroxymethyl)oxane-3,4,5-triol
Synonyms Fortuneanoside E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL498291
PubChem CID 11844494
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0004165] Phenolic glycosides

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 LNEZLIPXCBMQAT-XIKSMUEASA-N
Standard InCHI InChI=1S/C20H24O10/c1-27-13-6-10(7-14(28-2)16(13)23)9-3-4-12(11(22)5-9)29-20-19(26)18(25)17(24)15(8-21)30-20/h3-7,15,17-26H,8H2,1-2H3/t15-,17-,18+,19-,20-/m1/s1
SMILES OC[C@H]1O[C@@H](Oc2ccc(cc2O)c2cc(OC)c(c(c2)OC)O)[C@@H]([C@H]([C@@H]1O)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
NPO27360 Pyracantha fortuneana Species Rosaceae Eukaryota fruit n.a. n.a. PMID[16872137]
NPO27360 Pyracantha fortuneana Species Rosaceae 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
NPT741 Individual protein Tyrosinase Homo sapiens IC50 = 140000.0 nM DrugMatrix in vitro pharmacology data
NPT43 Individual protein Tyrosinase Agaricus bisporus IC50 = 140000.0 nM DrugMatrix in vivo data: Biochemistry

In vitro activity

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

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 NPC25292 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
0.7 Intermediate Similarity NPC190714
0.6721 Remote Similarity NPC99515
0.6557 Remote Similarity NPC473045
0.623 Remote Similarity NPC473044
0.6182 Remote Similarity NPC192810
0.6071 Remote Similarity NPC9248
0.5763 Remote Similarity NPC221090
0.5672 Remote Similarity NPC175976
0.5645 Remote Similarity NPC19470
0.5606 Remote Similarity NPC78809
0.5556 Remote Similarity NPC481303
0.5455 Remote Similarity NPC100389
0.5397 Remote Similarity NPC205054
0.5342 Remote Similarity NPC277867
0.527 Remote Similarity NPC603591
0.5263 Remote Similarity NPC142319
0.5256 Remote Similarity NPC229729
0.5254 Remote Similarity NPC152722
0.5246 Remote Similarity NPC145900
0.5224 Remote Similarity NPC605646
0.519 Remote Similarity NPC150442
0.519 Remote Similarity NPC307518
0.5172 Remote Similarity NPC484157
0.5156 Remote Similarity NPC23084
0.5091 Remote Similarity NPC228907
0.5085 Remote Similarity NPC153149
0.5079 Remote Similarity NPC310661
0.5077 Remote Similarity NPC210015
0.5075 Remote Similarity NPC59324
0.5072 Remote Similarity NPC186418
0.5072 Remote Similarity NPC202700
0.5063 Remote Similarity NPC486578
0.5063 Remote Similarity NPC605067
0.5063 Remote Similarity NPC609478

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC25292 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
NPD

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