Natural Product: NPC552787

Natural Product IDNPC552787
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-hydroxy-3-(4-hydroxyphenyl)-6-methoxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{S},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxymethyl]tetrahydropyran-2-yl]oxy-chromen-4-one
IUPAC Name 5-hydroxy-3-(4-hydroxyphenyl)-6-methoxy-7-[(2~{S},3~{R},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-[[(2~{R},3~{S},4~{S},5~{S},6~{R})-3,4,5-trihydroxy-6-(hydroxymethyl)tetrahydropyran-2-yl]oxymethyl]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]

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 DEAGIDFEDRILTP-CVGGESKWSA-N
Standard InCHI InChI=1S/C28H32O16/c1-39-26-14(6-13-17(21(26)34)18(31)12(8-40-13)10-2-4-11(30)5-3-10)42-28-25(38)23(36)20(33)16(44-28)9-41-27-24(37)22(35)19(32)15(7-29)43-27/h2-6,8,15-16,19-20,22-25,27-30,32-38H,7,9H2,1H3/t15-,16-,19-,20-,22+,23+,24+,25-,27-,28-/m1/s1
SMILES COC1=C(O[C@@H]2O[C@H](CO[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@@H]3O)[C@@H](O)[C@H](O)[C@H]2O)C=C2OC=C(C3=CC=C(O)C=C3)C(=O)C2=C1O

  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
NPO15902 Iris spuria Species Iridaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9325 Dalbergia volubilis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9429 Dalbergia sissoides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9325 Dalbergia volubilis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15902 Iris spuria Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9325 Dalbergia volubilis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15902 Iris spuria Species Iridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9429 Dalbergia sissoides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9325 Dalbergia volubilis Species Fabaceae 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 NPC552787 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
0.8354 Intermediate Similarity NPC205076
0.7907 Intermediate Similarity NPC479405
0.7816 Intermediate Similarity NPC479404
0.7126 Intermediate Similarity NPC48773
0.6923 Remote Similarity NPC303913
0.6818 Remote Similarity NPC307518
0.6809 Remote Similarity NPC257714
0.6782 Remote Similarity NPC224462
0.6702 Remote Similarity NPC479403
0.6628 Remote Similarity NPC105511
0.6437 Remote Similarity NPC197896
0.6437 Remote Similarity NPC313163
0.618 Remote Similarity NPC73511
0.6111 Remote Similarity NPC100720
0.6067 Remote Similarity NPC161749
0.5876 Remote Similarity NPC475155
0.5842 Remote Similarity NPC231194
0.5823 Remote Similarity NPC216769
0.5778 Remote Similarity NPC259070
0.5745 Remote Similarity NPC99957
0.5699 Remote Similarity NPC481043
0.5657 Remote Similarity NPC204693
0.5652 Remote Similarity NPC105025
0.5644 Remote Similarity NPC51326
0.5604 Remote Similarity NPC348541
0.5543 Remote Similarity NPC156457
0.5495 Remote Similarity NPC135345
0.5405 Remote Similarity NPC473895
0.5376 Remote Similarity NPC258035
0.5368 Remote Similarity NPC80140
0.534 Remote Similarity NPC483707
0.5333 Remote Similarity NPC235575
0.5326 Remote Similarity NPC45165
0.5319 Remote Similarity NPC24043
0.5301 Remote Similarity NPC57751
0.5294 Remote Similarity NPC488073
0.5287 Remote Similarity NPC60756
0.5269 Remote Similarity NPC211014
0.5263 Remote Similarity NPC117260
0.5213 Remote Similarity NPC93337
0.5204 Remote Similarity NPC479407
0.5158 Remote Similarity NPC186807
0.5155 Remote Similarity NPC229729
0.5152 Remote Similarity NPC172807
0.5152 Remote Similarity NPC211594
0.5104 Remote Similarity NPC201292
0.5102 Remote Similarity NPC479406
0.5098 Remote Similarity NPC102028
0.5098 Remote Similarity NPC156869
0.5093 Remote Similarity NPC475261
0.5053 Remote Similarity NPC234739
0.5052 Remote Similarity NPC488071
0.5049 Remote Similarity NPC473571
0.5049 Remote Similarity NPC110941

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC552787 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
0.6067 Remote Similarity NPD4381 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