Natural Product: NPC286336

Natural Product IDNPC286336
Common Name
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The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
1-(2-Hydroxy-4-Methoxyphenyl)-3-(4-Hydroxyphenyl)Propan-1-One
IUPAC Name 1-(2-hydroxy-4-methoxyphenyl)-3-(4-hydroxyphenyl)propan-1-one
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL490352
PubChem CID 2762958
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003467] Linear 1,3-diarylpropanoids
        • [CHEMONTID:0001630] Chalcones and dihydrochalcones
          • [CHEMONTID:0003473] 2'-Hydroxy-dihydrochalcones

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 MEZSKKITJGNMJJ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C16H16O4/c1-20-13-7-8-14(16(19)10-13)15(18)9-4-11-2-5-12(17)6-3-11/h2-3,5-8,10,17,19H,4,9H2,1H3
SMILES COc1ccc(c(c1)O)C(=O)CCc1ccc(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
NPO12031 Schinopsis lorentzii Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8391 Cortinarius sinapicolor Species Cortinariaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8485 Magnolia odora Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12031 Schinopsis lorentzii Species Anacardiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8485 Magnolia odora Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8391 Cortinarius sinapicolor Species Cortinariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10862 Mammillaria runyonii Species Cactaceae 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
NPT28438 Unchecked Unchecked n.a. IC50 > 10000.0 nM PMID[36940414]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 0.0 % PMID[521818]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 100.0 % PMID[521818]

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 NPC286336 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
0.7907 Intermediate Similarity NPC485643
0.7674 Intermediate Similarity NPC82225
0.7021 Intermediate Similarity NPC18877
0.6744 Remote Similarity NPC133909
0.6596 Remote Similarity NPC189106
0.6522 Remote Similarity NPC229147
0.6444 Remote Similarity NPC204960
0.617 Remote Similarity NPC604715
0.6078 Remote Similarity NPC282957
0.6 Remote Similarity NPC242895
0.5957 Remote Similarity NPC294593
0.5918 Remote Similarity NPC144051
0.5745 Remote Similarity NPC156139
0.5686 Remote Similarity NPC20560
0.549 Remote Similarity NPC28753
0.5476 Remote Similarity NPC186098
0.5439 Remote Similarity NPC483641
0.5439 Remote Similarity NPC608786
0.5435 Remote Similarity NPC608363
0.54 Remote Similarity NPC54507
0.5345 Remote Similarity NPC13575
0.5303 Remote Similarity NPC6985
0.5294 Remote Similarity NPC205468
0.52 Remote Similarity NPC128348
0.5192 Remote Similarity NPC74817
0.5192 Remote Similarity NPC112192
0.5161 Remote Similarity NPC121001
0.5098 Remote Similarity NPC309717
0.5094 Remote Similarity NPC66384
0.5088 Remote Similarity NPC474110
0.5085 Remote Similarity NPC205006
0.5075 Remote Similarity NPC106625

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC286336 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