Natural Product: NPC40082

Natural Product IDNPC40082
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.
Ostopanic Acid
IUPAC Name (8E,10E)-7,12-dioxooctadeca-8,10-dienoic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL478594
PubChem CID 6440816
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000504] Lineolic acids and derivatives

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 WTLVYAWQAPUBFY-UTLPMFLDSA-N
Standard InCHI InChI=1S/C18H28O4/c1-2-3-4-6-11-16(19)13-9-10-14-17(20)12-7-5-8-15-18(21)22/h9-10,13-14H,2-8,11-12,15H2,1H3,(H,21,22)/b13-9+,14-10+
SMILES CCCCCCC(=O)/C=C/C=C/C(=O)CCCCCC(=O)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
NPO20019 Ostodes paniculata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[3655798]
NPO20019 Ostodes paniculata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[6854337]
NPO20019 Ostodes paniculata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO20019 Ostodes paniculata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20019 Ostodes paniculata Species Euphorbiaceae 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
NPT168 Cell line P388 Mus musculus ED50 = 1.5 ug ml-1 PMID[22647719]

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 NPC40082 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
0.8378 Intermediate Similarity NPC251042
0.8378 Intermediate Similarity NPC174447
0.8378 Intermediate Similarity NPC122521
0.7838 Intermediate Similarity NPC106851
0.7838 Intermediate Similarity NPC282788
0.7838 Intermediate Similarity NPC274927
0.7576 Intermediate Similarity NPC18712
0.7576 Intermediate Similarity NPC74845
0.7073 Intermediate Similarity NPC325977
0.7073 Intermediate Similarity NPC143396
0.6667 Remote Similarity NPC235242
0.65 Remote Similarity NPC477201
0.6452 Remote Similarity NPC171736
0.6452 Remote Similarity NPC301585
0.6452 Remote Similarity NPC261080
0.6452 Remote Similarity NPC132565
0.6452 Remote Similarity NPC209970
0.6452 Remote Similarity NPC216630
0.6452 Remote Similarity NPC201844
0.6452 Remote Similarity NPC301696
0.6452 Remote Similarity NPC196924
0.6452 Remote Similarity NPC307783
0.6452 Remote Similarity NPC154186
0.6452 Remote Similarity NPC149184
0.6452 Remote Similarity NPC279026
0.6452 Remote Similarity NPC113928
0.6452 Remote Similarity NPC14227
0.6279 Remote Similarity NPC329550
0.6129 Remote Similarity NPC155263
0.5833 Remote Similarity NPC424
0.5833 Remote Similarity NPC36061
0.5833 Remote Similarity NPC69510
0.5833 Remote Similarity NPC77272
0.5833 Remote Similarity NPC290563
0.5833 Remote Similarity NPC139029
0.5833 Remote Similarity NPC281972
0.5833 Remote Similarity NPC261831
0.5833 Remote Similarity NPC87564
0.5676 Remote Similarity NPC95145
0.5676 Remote Similarity NPC325642
0.5676 Remote Similarity NPC65174
0.5556 Remote Similarity NPC281245
0.5484 Remote Similarity NPC214610
0.5484 Remote Similarity NPC118968
0.5484 Remote Similarity NPC183424
0.5484 Remote Similarity NPC294085
0.5405 Remote Similarity NPC8219
0.5405 Remote Similarity NPC92114
0.5385 Remote Similarity NPC154245
0.5385 Remote Similarity NPC85813
0.5385 Remote Similarity NPC223697
0.5385 Remote Similarity NPC6095
0.5319 Remote Similarity NPC322461
0.5312 Remote Similarity NPC175342
0.5161 Remote Similarity NPC268826
0.5128 Remote Similarity NPC321062
0.5128 Remote Similarity NPC87394
0.5128 Remote Similarity NPC324004
0.5128 Remote Similarity NPC328497
0.5128 Remote Similarity NPC602547
0.5116 Remote Similarity NPC482480
0.5116 Remote Similarity NPC482481

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC40082 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
0.6452 Remote Similarity NPD2270 Pre-clinical
0.6452 Remote Similarity NPD633 Phase 3
0.6452 Remote Similarity NPD9448 Phase 2
0.5833 Remote Similarity NPD3195 Phase 2
0.5833 Remote Similarity NPD3196 Approved
0.5484 Remote Similarity NPD9655 Phase 4
0.5385 Remote Similarity NPD4266 Phase 2
0.5128 Remote Similarity NPD3199 Clinical (unspecified phase)

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