Natural Product: NPC177298

Natural Product IDNPC177298
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Lethedocin
IUPAC Name 5-hydroxy-2-(3-hydroxy-4,5-dimethoxyphenyl)-7-methoxychromen-4-one
Synonyms Lethedocin
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL467609
PubChem CID 5496476
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0002585] O-methylated flavonoids
          • [CHEMONTID:0002592] 7-O-methylated flavonoids

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 WFVABHHWJPWNJJ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C18H16O7/c1-22-10-6-11(19)17-12(20)8-14(25-15(17)7-10)9-4-13(21)18(24-3)16(5-9)23-2/h4-8,19,21H,1-3H3
SMILES COc1cc(c2c(=O)cc(c3cc(c(c(c3)OC)OC)O)oc2c1)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
NPO33004 lethedon tannaensis Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[10075750]
NPO33004 lethedon tannaensis Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[8759170]

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
NPT91 Cell line KB Homo sapiens IC50 = 16.4 ug.mL-1 DrugMatrix in vitro pharmacology data

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 NPC177298 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
0.7925 Intermediate Similarity NPC33265
0.75 Intermediate Similarity NPC195202
0.75 Intermediate Similarity NPC223579
0.75 Intermediate Similarity NPC206604
0.7273 Intermediate Similarity NPC48479
0.7193 Intermediate Similarity NPC606638
0.7143 Intermediate Similarity NPC108406
0.7091 Intermediate Similarity NPC127447
0.7091 Intermediate Similarity NPC29353
0.7069 Intermediate Similarity NPC137062
0.6964 Remote Similarity NPC234133
0.6724 Remote Similarity NPC328119
0.6167 Remote Similarity NPC200740
0.6102 Remote Similarity NPC76376
0.6066 Remote Similarity NPC124784
0.6034 Remote Similarity NPC75279
0.5902 Remote Similarity NPC166753
0.5833 Remote Similarity NPC87125
0.5833 Remote Similarity NPC605755
0.5806 Remote Similarity NPC160951
0.5806 Remote Similarity NPC236769
0.5806 Remote Similarity NPC609179
0.5738 Remote Similarity NPC208197
0.5714 Remote Similarity NPC252933
0.5667 Remote Similarity NPC152042
0.5645 Remote Similarity NPC39732
0.5645 Remote Similarity NPC69394
0.5645 Remote Similarity NPC270620
0.5645 Remote Similarity NPC60972
0.5634 Remote Similarity NPC600396
0.5574 Remote Similarity NPC143799
0.5574 Remote Similarity NPC62536
0.5574 Remote Similarity NPC145379
0.5574 Remote Similarity NPC276409
0.5574 Remote Similarity NPC601901
0.5571 Remote Similarity NPC248739
0.5556 Remote Similarity NPC58382
0.5556 Remote Similarity NPC474520
0.5526 Remote Similarity NPC22832
0.5526 Remote Similarity NPC243930
0.5493 Remote Similarity NPC603508
0.5484 Remote Similarity NPC25270
0.5469 Remote Similarity NPC47781
0.5469 Remote Similarity NPC78326
0.5455 Remote Similarity NPC607707
0.5417 Remote Similarity NPC158027
0.541 Remote Similarity NPC103904
0.541 Remote Similarity NPC262094
0.541 Remote Similarity NPC239128
0.5405 Remote Similarity NPC18699
0.5397 Remote Similarity NPC246204
0.5397 Remote Similarity NPC212678
0.5373 Remote Similarity NPC99671
0.5373 Remote Similarity NPC602829
0.5342 Remote Similarity NPC159707
0.5342 Remote Similarity NPC14606
0.5342 Remote Similarity NPC194593
0.5323 Remote Similarity NPC146679
0.5323 Remote Similarity NPC188871
0.5323 Remote Similarity NPC120163
0.5323 Remote Similarity NPC483773
0.5312 Remote Similarity NPC55619
0.5312 Remote Similarity NPC283600
0.5312 Remote Similarity NPC52005
0.5312 Remote Similarity NPC162351
0.5312 Remote Similarity NPC12200
0.527 Remote Similarity NPC121649
0.5256 Remote Similarity NPC311830
0.5238 Remote Similarity NPC100916
0.52 Remote Similarity NPC205026
0.52 Remote Similarity NPC95090
0.52 Remote Similarity NPC27408
0.5195 Remote Similarity NPC55443
0.5156 Remote Similarity NPC29841
0.5156 Remote Similarity NPC200388
0.5156 Remote Similarity NPC255350
0.5139 Remote Similarity NPC604322
0.5135 Remote Similarity NPC473043
0.5132 Remote Similarity NPC181712
0.5132 Remote Similarity NPC265624
0.5128 Remote Similarity NPC284960
0.5079 Remote Similarity NPC231772
0.5079 Remote Similarity NPC57030
0.5079 Remote Similarity NPC120464
0.5077 Remote Similarity NPC93376
0.5075 Remote Similarity NPC485299
0.5067 Remote Similarity NPC261866
0.5067 Remote Similarity NPC19709

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC177298 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
0.5156 Remote Similarity NPD2801 Pre-clinical

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