Natural Product: NPC609386

Natural Product IDNPC609386
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
WSSNVJXVWRIBQI-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL575075
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 WSSNVJXVWRIBQI-UHFFFAOYSA-N
Standard InCHI InChI=1S/C17H14O5/c1-20-12-5-10(6-13(8-12)21-2)15-9-22-16-7-11(18)3-4-14(16)17(15)19/h3-9,18H,1-2H3
SMILES COc1cc(OC)cc(-c2coc3cc(O)ccc3c2=O)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
NPO15836 Astragalus peregrinus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO15836 Astragalus peregrinus 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
NPT106 Individual protein Peroxisome proliferator-activated receptor delta Homo sapiens FC = 34.9 n.a. PMID[23265844]
NPT106 Individual protein Peroxisome proliferator-activated receptor delta Homo sapiens EC50 = 17170.0 nM PMID[23265844]
NPT106 Individual protein Peroxisome proliferator-activated receptor delta Homo sapiens FC = 17.5 n.a. PMID[23265844]
NPT866 Individual protein Peroxisome proliferator-activated receptor alpha Homo sapiens EC50 = 24550.0 nM PMID[26616289]
NPT866 Individual protein Peroxisome proliferator-activated receptor alpha Homo sapiens FC = 4.8 n.a. PMID[19807106]
NPT866 Individual protein Peroxisome proliferator-activated receptor alpha Homo sapiens FC = 25.3 n.a. PMID[19807106]
NPT866 Individual protein Peroxisome proliferator-activated receptor alpha Homo sapiens EC50 = 24550.0 nM PMID[19807106]
NPT866 Individual protein Peroxisome proliferator-activated receptor alpha Homo sapiens EC50 = 24550.0 nM PMID[23265844]
NPT99 Individual protein Peroxisome proliferator-activated receptor gamma Homo sapiens EC50 = 18860.0 nM PMID[23265844]
NPT99 Individual protein Peroxisome proliferator-activated receptor gamma Homo sapiens EC50 = 18860.0 nM PMID[26616289]
NPT99 Individual protein Peroxisome proliferator-activated receptor gamma Homo sapiens FC = 116.3 n.a. PMID[19807106]
NPT99 Individual protein Peroxisome proliferator-activated receptor gamma Homo sapiens EC50 = 18860.0 nM PMID[19807106]
NPT99 Individual protein Peroxisome proliferator-activated receptor gamma Homo sapiens FC = 11.9 n.a. PMID[19807106]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT71 Cell line HEK293 Homo sapiens Activity = 80.0 % PMID[23265844]
NPT71 Cell line HEK293 Homo sapiens Activity > 80.0 % PMID[19807106]
NPT71 Cell line HEK293 Homo sapiens Activity > 67.0 % PMID[19807106]

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 NPC609386 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
0.8077 Intermediate Similarity NPC203747
0.7963 Intermediate Similarity NPC191741
0.7736 Intermediate Similarity NPC209560
0.7736 Intermediate Similarity NPC490700
0.7455 Intermediate Similarity NPC262623
0.7455 Intermediate Similarity NPC12377
0.7321 Intermediate Similarity NPC139364
0.7018 Intermediate Similarity NPC80710
0.6897 Remote Similarity NPC55162
0.6731 Remote Similarity NPC234560
0.6724 Remote Similarity NPC12175
0.6724 Remote Similarity NPC40290
0.6724 Remote Similarity NPC156953
0.6604 Remote Similarity NPC212767
0.6557 Remote Similarity NPC215375
0.6508 Remote Similarity NPC611071
0.65 Remote Similarity NPC35544
0.6481 Remote Similarity NPC242893
0.6441 Remote Similarity NPC195763
0.6333 Remote Similarity NPC200060
0.6333 Remote Similarity NPC291802
0.614 Remote Similarity NPC487215
0.6061 Remote Similarity NPC149875
0.5942 Remote Similarity NPC605730
0.5932 Remote Similarity NPC181124
0.5806 Remote Similarity NPC134726
0.5789 Remote Similarity NPC235428
0.5667 Remote Similarity NPC69430
0.5667 Remote Similarity NPC100971
0.5507 Remote Similarity NPC104555
0.55 Remote Similarity NPC10467
0.55 Remote Similarity NPC78341
0.5467 Remote Similarity NPC488566
0.5455 Remote Similarity NPC215311
0.5455 Remote Similarity NPC607759
0.5429 Remote Similarity NPC104406
0.5429 Remote Similarity NPC285623
0.5429 Remote Similarity NPC108859
0.541 Remote Similarity NPC121522
0.5352 Remote Similarity NPC223701
0.5352 Remote Similarity NPC472583
0.5352 Remote Similarity NPC7989
0.5342 Remote Similarity NPC258035
0.5333 Remote Similarity NPC605229
0.5246 Remote Similarity NPC7013
0.5238 Remote Similarity NPC264289
0.5161 Remote Similarity NPC162680
0.5161 Remote Similarity NPC294409
0.5161 Remote Similarity NPC490701
0.5161 Remote Similarity NPC610981
0.5143 Remote Similarity NPC266572
0.5085 Remote Similarity NPC182428
0.5082 Remote Similarity NPC185607
0.5079 Remote Similarity NPC181209
0.5079 Remote Similarity NPC239363
0.5077 Remote Similarity NPC254702
0.5077 Remote Similarity NPC109187
0.5075 Remote Similarity NPC161124

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC609386 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