Natural Product: NPC15860

Natural Product IDNPC15860
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.
Oncostemonol E
IUPAC Name 3-[(Z)-16-(3,5-dimethoxyphenyl)hexadec-8-enyl]-5-methoxyphenol
Synonyms oncostemonol E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL464883
PubChem CID 11755018
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0000190] Methoxyphenols

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 CSQIEWJRHVVKSJ-PLNGDYQASA-N
Standard InCHI InChI=1S/C31H46O4/c1-33-29-21-26(20-28(32)24-29)18-16-14-12-10-8-6-4-5-7-9-11-13-15-17-19-27-22-30(34-2)25-31(23-27)35-3/h4-5,20-25,32H,6-19H2,1-3H3/b5-4-
SMILES COc1cc(CCCCCCC/C=CCCCCCCCc2cc(OC)cc(c2)OC)cc(c1)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
NPO33313 oncostemon bojerianum Species n.a. n.a. leaves Madagascar rainforest n.a. PMID[12444688]

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
NPT179 Cell line A2780 Homo sapiens IC50 = 9.8 ug.mL-1 PMID[10775404]

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 NPC15860 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
0.907 High Similarity NPC219070
0.8298 Intermediate Similarity NPC127894
0.8298 Intermediate Similarity NPC470759
0.72 Intermediate Similarity NPC249836
0.7021 Intermediate Similarity NPC114064
0.6889 Remote Similarity NPC168657
0.6667 Remote Similarity NPC140521
0.6 Remote Similarity NPC78446
0.5714 Remote Similarity NPC470699
0.5614 Remote Similarity NPC473221
0.5577 Remote Similarity NPC470161
0.5532 Remote Similarity NPC470700
0.5532 Remote Similarity NPC54844
0.5532 Remote Similarity NPC39097
0.5532 Remote Similarity NPC302681
0.5532 Remote Similarity NPC118286
0.5532 Remote Similarity NPC109691
0.537 Remote Similarity NPC471498
0.537 Remote Similarity NPC471503
0.5306 Remote Similarity NPC53051
0.5306 Remote Similarity NPC24404
0.5306 Remote Similarity NPC313030
0.5306 Remote Similarity NPC39664
0.5238 Remote Similarity NPC480163
0.52 Remote Similarity NPC146798
0.52 Remote Similarity NPC222522
0.52 Remote Similarity NPC106396
0.52 Remote Similarity NPC94351
0.52 Remote Similarity NPC168303

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC15860 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