Natural Product: NPC566722

Natural Product IDNPC566722
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
3-(4-hydroxyphenyl)-7-methoxy-5-[(2~{S},3~{R},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 3-(4-hydroxyphenyl)-7-methoxy-5-[(2~{S},3~{R},4~{S},5~{S},6~{S})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxy-chromen-4-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0000507] Isoflavonoid O-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 AJAGLPDYKVWJQE-GVJIXFOXSA-N
Standard InCHI InChI=1S/C22H22O10/c1-29-12-6-14-17(18(25)13(9-30-14)10-2-4-11(24)5-3-10)15(7-12)31-22-21(28)20(27)19(26)16(8-23)32-22/h2-7,9,16,19-24,26-28H,8H2,1H3/t16-,19+,20-,21+,22+/m0/s1
SMILES COC1=CC(O[C@@H]2O[C@@H](CO)[C@@H](O)[C@H](O)[C@H]2O)=C2C(=O)C(C3=CC=C(O)C=C3)=COC2=C1

  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
NPO24693 Prunus cerasus Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[9917288]
NPO24693 Prunus cerasus Species Rosaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO24693 Prunus cerasus Species Rosaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO24693 Prunus cerasus Species Rosaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO24693 Prunus cerasus Species Rosaceae Eukaryota n.a. n.a. Database[FooDB]
NPO24693 Prunus cerasus Species Rosaceae Eukaryota Fruits n.a. Database[FooDB]
NPO24693 Prunus cerasus Species Rosaceae Eukaryota Fruits n.a. Database[Phenol-Explorer]
NPO24693 Prunus cerasus 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

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 NPC566722 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
0.942 High Similarity NPC100720
0.7922 Intermediate Similarity NPC479407
0.7792 Intermediate Similarity NPC479406
0.7368 Intermediate Similarity NPC197896
0.7368 Intermediate Similarity NPC105511
0.7368 Intermediate Similarity NPC313163
0.7368 Intermediate Similarity NPC161749
0.7308 Intermediate Similarity NPC479402
0.7179 Intermediate Similarity NPC205076
0.6765 Remote Similarity NPC162680
0.6625 Remote Similarity NPC73511
0.6463 Remote Similarity NPC479401
0.6456 Remote Similarity NPC45165
0.6296 Remote Similarity NPC258035
0.625 Remote Similarity NPC479405
0.625 Remote Similarity NPC135345
0.622 Remote Similarity NPC610763
0.619 Remote Similarity NPC229729
0.618 Remote Similarity NPC479404
0.6173 Remote Similarity NPC259070
0.6173 Remote Similarity NPC211014
0.6173 Remote Similarity NPC348541
0.6098 Remote Similarity NPC156457
0.6071 Remote Similarity NPC80140
0.6047 Remote Similarity NPC48773
0.5882 Remote Similarity NPC169404
0.5882 Remote Similarity NPC176186
0.5854 Remote Similarity NPC183357
0.5747 Remote Similarity NPC307518
0.5714 Remote Similarity NPC234739
0.5698 Remote Similarity NPC481043
0.5698 Remote Similarity NPC224462
0.5581 Remote Similarity NPC182045
0.5529 Remote Similarity NPC603782
0.5455 Remote Similarity NPC284960
0.5455 Remote Similarity NPC601607
0.5412 Remote Similarity NPC110349
0.5412 Remote Similarity NPC83283
0.5402 Remote Similarity NPC138540
0.5393 Remote Similarity NPC150442
0.5393 Remote Similarity NPC607201
0.5376 Remote Similarity NPC303913
0.5294 Remote Similarity NPC160515
0.5278 Remote Similarity NPC223354
0.5278 Remote Similarity NPC608360
0.527 Remote Similarity NPC7013
0.5233 Remote Similarity NPC39360
0.5233 Remote Similarity NPC29763
0.5233 Remote Similarity NPC210003
0.5208 Remote Similarity NPC479403
0.519 Remote Similarity NPC62518
0.5172 Remote Similarity NPC93337
0.5172 Remote Similarity NPC297987
0.5172 Remote Similarity NPC323593
0.5172 Remote Similarity NPC203500
0.5119 Remote Similarity NPC25547
0.5114 Remote Similarity NPC22195
0.5114 Remote Similarity NPC24043
0.5114 Remote Similarity NPC21190
0.5114 Remote Similarity NPC105025
0.5056 Remote Similarity NPC599850

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC566722 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
0.7368 Intermediate Similarity NPD4381 Clinical (unspecified phase)
0.5476 Remote Similarity NPD3818 Discontinued

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