Natural Product: NPC178054

Natural Product IDNPC178054
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(2R,3R,4S)-2-(3,4-Dihydroxyphenyl)-4-(2,4,6-Trihydroxyphenyl)Chroman-3,5,7-Triol
IUPAC Name (2R,3R,4S)-2-(3,4-dihydroxyphenyl)-4-(2,4,6-trihydroxyphenyl)-3,4-dihydro-2H-chromene-3,5,7-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL1223837
PubChem CID 14009028
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0000337] Flavans
          • [CHEMONTID:0003012] Flavan-3-ols
            • [CHEMONTID:0001584] Catechins

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 OKJJBTUOKCQSPH-PWRODBHTSA-N
Standard InCHI InChI=1S/C21H18O9/c22-9-4-13(26)17(14(27)5-9)19-18-15(28)6-10(23)7-16(18)30-21(20(19)29)8-1-2-11(24)12(25)3-8/h1-7,19-29H/t19-,20+,21+/m0/s1
SMILES c1cc(c(cc1[C@@H]1[C@@H]([C@@H](c2c(cc(cc2O)O)O)c2c(cc(cc2O1)O)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
NPO23907 Grazielia serrata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8413 Echinus auritus Species Echinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11409 Trichothecium sympodiale Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13209 Strychnos tomentosa Species Loganiaceae 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
NPT907 Individual protein Ribonuclease pancreatic Homo sapiens Ratio = 0.7038 n.a. PMID[20692173]
NPT907 Individual protein Ribonuclease pancreatic Homo sapiens Kb = 6.76 10'4/M PMID[20692173]

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 NPC178054 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
0.7458 Intermediate Similarity NPC294558
0.7458 Intermediate Similarity NPC18185
0.7458 Intermediate Similarity NPC263940
0.7288 Intermediate Similarity NPC58190
0.7288 Intermediate Similarity NPC108811
0.7288 Intermediate Similarity NPC170103
0.7288 Intermediate Similarity NPC236202
0.7288 Intermediate Similarity NPC262911
0.7288 Intermediate Similarity NPC202742
0.7167 Intermediate Similarity NPC246202
0.7167 Intermediate Similarity NPC224161
0.7167 Intermediate Similarity NPC46335
0.7167 Intermediate Similarity NPC279406
0.7167 Intermediate Similarity NPC486519
0.6875 Remote Similarity NPC226809
0.6418 Remote Similarity NPC278548
0.6182 Remote Similarity NPC261619
0.6182 Remote Similarity NPC61477
0.6182 Remote Similarity NPC78770
0.6182 Remote Similarity NPC219876
0.6182 Remote Similarity NPC126029
0.6182 Remote Similarity NPC15658
0.6154 Remote Similarity NPC313116
0.6154 Remote Similarity NPC603340
0.597 Remote Similarity NPC70409
0.597 Remote Similarity NPC204770
0.597 Remote Similarity NPC600551
0.597 Remote Similarity NPC601980
0.597 Remote Similarity NPC602065
0.597 Remote Similarity NPC611024
0.5873 Remote Similarity NPC96576
0.5862 Remote Similarity NPC36835
0.5862 Remote Similarity NPC246162
0.5862 Remote Similarity NPC9743
0.5862 Remote Similarity NPC260491
0.5862 Remote Similarity NPC61506
0.5862 Remote Similarity NPC240476
0.5797 Remote Similarity NPC600630
0.5797 Remote Similarity NPC607896
0.5797 Remote Similarity NPC611369
0.5789 Remote Similarity NPC78074
0.5658 Remote Similarity NPC86630
0.56 Remote Similarity NPC147743
0.56 Remote Similarity NPC4809
0.56 Remote Similarity NPC73517
0.5584 Remote Similarity NPC106601
0.5584 Remote Similarity NPC151474
0.5584 Remote Similarity NPC478340
0.5513 Remote Similarity NPC212614
0.5513 Remote Similarity NPC205613
0.55 Remote Similarity NPC159526
0.5484 Remote Similarity NPC150670
0.5455 Remote Similarity NPC82917
0.5429 Remote Similarity NPC211561
0.5357 Remote Similarity NPC601844
0.5352 Remote Similarity NPC272552
0.5352 Remote Similarity NPC226108
0.5352 Remote Similarity NPC322899
0.5316 Remote Similarity NPC478337
0.5316 Remote Similarity NPC478338
0.5278 Remote Similarity NPC46283
0.5278 Remote Similarity NPC469944
0.5278 Remote Similarity NPC302549
0.5224 Remote Similarity NPC601999
0.5211 Remote Similarity NPC601997
0.5211 Remote Similarity NPC609211
0.5211 Remote Similarity NPC610665
0.5205 Remote Similarity NPC44192
0.5135 Remote Similarity NPC20050
0.5072 Remote Similarity NPC184245
0.5072 Remote Similarity NPC187801
0.5072 Remote Similarity NPC610920
0.5068 Remote Similarity NPC65333
0.5067 Remote Similarity NPC306267
0.5067 Remote Similarity NPC478616
0.5067 Remote Similarity NPC478339

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC178054 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
0.6182 Remote Similarity NPD1612 Clinical (unspecified phase)
0.6182 Remote Similarity NPD1613 Phase 4

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