Natural Product: NPC190429

Natural Product IDNPC190429
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HSTZMXCBWJGKHG-UABZBGRASA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 11968839
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000253] Stilbenes
        • [CHEMONTID:0000142] Stilbene 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 HSTZMXCBWJGKHG-UABZBGRASA-N
Standard InCHI InChI=1S/C20H22O8/c21-10-16-17(24)18(25)19(26)20(28-16)27-15-8-12(7-14(23)9-15)2-1-11-3-5-13(22)6-4-11/h1-9,16-26H,10H2/b2-1+/t16-,17-,18+,19-,20+/m1/s1
SMILES C(=Cc1cc(cc(c1)O[C@@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)O)/c1ccc(cc1)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
NPO9722 Strongylodesma aliwaliensis n.a. n.a. n.a. n.a. South African n.a. PMID[15844938]
NPO2183 Eucalyptus sideroxylon Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[36840164]
NPO2183 Eucalyptus sideroxylon Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22505 Bombax ceiba Species Malvaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO9722 Strongylodesma aliwaliensis n.a. n.a. n.a. n.a. n.a. n.a. Database[COCONUT]
NPO4884 Caulerpa bikinensis Species Caulerpaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO22505 Bombax ceiba Species Malvaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22505 Bombax ceiba Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9722 Strongylodesma aliwaliensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO4081 Aspilia floribunda Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2183 Eucalyptus sideroxylon Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4884 Caulerpa bikinensis Species Caulerpaceae 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 NPC190429 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
1.0 High Similarity NPC85799
1.0 High Similarity NPC303422
0.8571 High Similarity NPC242028
0.8571 High Similarity NPC203230
0.8545 High Similarity NPC218003
0.8246 Intermediate Similarity NPC294166
0.8246 Intermediate Similarity NPC115022
0.8136 Intermediate Similarity NPC212770
0.8 Intermediate Similarity NPC214910
0.7797 Intermediate Similarity NPC8497
0.7541 Intermediate Similarity NPC98777
0.7097 Intermediate Similarity NPC260681
0.7015 Intermediate Similarity NPC188555
0.6909 Remote Similarity NPC12308
0.678 Remote Similarity NPC26080
0.678 Remote Similarity NPC165686
0.6774 Remote Similarity NPC252169
0.6765 Remote Similarity NPC138350
0.6765 Remote Similarity NPC165482
0.6716 Remote Similarity NPC130496
0.6667 Remote Similarity NPC185778
0.6618 Remote Similarity NPC40664
0.6618 Remote Similarity NPC197723
0.6508 Remote Similarity NPC65530
0.6338 Remote Similarity NPC289346
0.6066 Remote Similarity NPC479028
0.6066 Remote Similarity NPC479031
0.6 Remote Similarity NPC142319
0.5938 Remote Similarity NPC59324
0.5909 Remote Similarity NPC604095
0.5882 Remote Similarity NPC57587
0.5875 Remote Similarity NPC59692
0.5833 Remote Similarity NPC238243
0.5769 Remote Similarity NPC233467
0.5735 Remote Similarity NPC189115
0.5696 Remote Similarity NPC157396
0.5634 Remote Similarity NPC88484
0.5606 Remote Similarity NPC478871
0.5606 Remote Similarity NPC478870
0.5606 Remote Similarity NPC478872
0.5606 Remote Similarity NPC478873
0.5556 Remote Similarity NPC484946
0.5556 Remote Similarity NPC484951
0.5556 Remote Similarity NPC280606
0.5541 Remote Similarity NPC168358
0.5526 Remote Similarity NPC89686
0.5526 Remote Similarity NPC257095
0.5513 Remote Similarity NPC100936
0.5513 Remote Similarity NPC1253
0.55 Remote Similarity NPC23431
0.5405 Remote Similarity NPC145319
0.5373 Remote Similarity NPC478888
0.5362 Remote Similarity NPC121001
0.5352 Remote Similarity NPC606353
0.5303 Remote Similarity NPC222455
0.5278 Remote Similarity NPC186406
0.5246 Remote Similarity NPC200092
0.5244 Remote Similarity NPC478877
0.5238 Remote Similarity NPC40377
0.5231 Remote Similarity NPC210015
0.5231 Remote Similarity NPC481303
0.5211 Remote Similarity NPC259767
0.5211 Remote Similarity NPC99233
0.5205 Remote Similarity NPC185103
0.52 Remote Similarity NPC166180
0.5172 Remote Similarity NPC212729
0.5172 Remote Similarity NPC604498
0.5167 Remote Similarity NPC152722
0.5161 Remote Similarity NPC145900
0.5152 Remote Similarity NPC479029
0.5125 Remote Similarity NPC152346
0.5125 Remote Similarity NPC197703
0.5119 Remote Similarity NPC478885
0.5085 Remote Similarity NPC269242
0.5085 Remote Similarity NPC484157
0.5082 Remote Similarity NPC60589
0.5082 Remote Similarity NPC469708
0.5079 Remote Similarity NPC166168
0.5079 Remote Similarity NPC214454
0.5077 Remote Similarity NPC205054
0.5072 Remote Similarity NPC469661
0.507 Remote Similarity NPC475084
0.5067 Remote Similarity NPC149244
0.5067 Remote Similarity NPC3293

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC190429 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