Natural Product: NPC274927

Natural Product IDNPC274927
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(E)-8-Oxooctadec-9-Enoic Acid
IUPAC Name (E)-8-oxooctadec-9-enoic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL465675
PubChem CID 637456
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 PHIXKQDGLSTYQU-SDNWHVSQSA-N
Standard InCHI InChI=1S/C18H32O3/c1-2-3-4-5-6-7-8-11-14-17(19)15-12-9-10-13-16-18(20)21/h11,14H,2-10,12-13,15-16H2,1H3,(H,20,21)/b14-11+
SMILES CCCCCCCC/C=C/C(=O)CCCCCCC(=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
NPO33018 clitocybe clavipes Species Tricholomataceae Eukaryota n.a. n.a. n.a. PMID[12444711]

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
NPT6555 Individual protein Aldehyde dehydrogenase 1, mitochondrial Saccharomyces cerevisiae IC50 = 280000.0 nM PMID[23228471]

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 NPC274927 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 NPC106851
1.0 High Similarity NPC282788
0.8462 Intermediate Similarity NPC251042
0.8462 Intermediate Similarity NPC174447
0.8462 Intermediate Similarity NPC122521
0.7838 Intermediate Similarity NPC40082
0.75 Intermediate Similarity NPC477201
0.6944 Remote Similarity NPC424
0.6944 Remote Similarity NPC36061
0.6944 Remote Similarity NPC69510
0.6944 Remote Similarity NPC77272
0.6944 Remote Similarity NPC290563
0.6944 Remote Similarity NPC139029
0.6944 Remote Similarity NPC281972
0.6944 Remote Similarity NPC261831
0.6944 Remote Similarity NPC87564
0.6829 Remote Similarity NPC482480
0.6829 Remote Similarity NPC482481
0.6818 Remote Similarity NPC235242
0.6757 Remote Similarity NPC18712
0.6757 Remote Similarity NPC74845
0.6757 Remote Similarity NPC95145
0.6757 Remote Similarity NPC325642
0.6757 Remote Similarity NPC65174
0.6667 Remote Similarity NPC281245
0.6486 Remote Similarity NPC92114
0.6444 Remote Similarity NPC325977
0.6444 Remote Similarity NPC329550
0.641 Remote Similarity NPC154245
0.641 Remote Similarity NPC85813
0.641 Remote Similarity NPC223697
0.641 Remote Similarity NPC6095
0.6154 Remote Similarity NPC321062
0.575 Remote Similarity NPC5413
0.5745 Remote Similarity NPC143396
0.5714 Remote Similarity NPC171736
0.5714 Remote Similarity NPC301585
0.5714 Remote Similarity NPC261080
0.5714 Remote Similarity NPC132565
0.5714 Remote Similarity NPC209970
0.5714 Remote Similarity NPC216630
0.5714 Remote Similarity NPC201844
0.5714 Remote Similarity NPC301696
0.5714 Remote Similarity NPC196924
0.5714 Remote Similarity NPC307783
0.5714 Remote Similarity NPC154186
0.5714 Remote Similarity NPC149184
0.5714 Remote Similarity NPC279026
0.5714 Remote Similarity NPC113928
0.5714 Remote Similarity NPC14227
0.561 Remote Similarity NPC52955
0.561 Remote Similarity NPC88966
0.561 Remote Similarity NPC25417
0.561 Remote Similarity NPC1813
0.561 Remote Similarity NPC59051
0.551 Remote Similarity NPC322461
0.5435 Remote Similarity NPC179764
0.5429 Remote Similarity NPC155263
0.5366 Remote Similarity NPC91495
0.5366 Remote Similarity NPC70387
0.5319 Remote Similarity NPC243532
0.5319 Remote Similarity NPC255863
0.5319 Remote Similarity NPC136164
0.5319 Remote Similarity NPC245947
0.5263 Remote Similarity NPC180534
0.5263 Remote Similarity NPC611531
0.5208 Remote Similarity NPC68343
0.5208 Remote Similarity NPC318420
0.5208 Remote Similarity NPC326268
0.5208 Remote Similarity NPC328089
0.5111 Remote Similarity NPC487561
0.5111 Remote Similarity NPC225929
0.5111 Remote Similarity NPC606120

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC274927 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
0.6944 Remote Similarity NPD3195 Phase 2
0.6944 Remote Similarity NPD3196 Approved
0.641 Remote Similarity NPD4266 Phase 2
0.5814 Remote Similarity NPD3194 Phase 4
0.575 Remote Similarity NPD3173 Phase 4
0.5714 Remote Similarity NPD2270 Pre-clinical
0.5714 Remote Similarity NPD633 Phase 3
0.5714 Remote Similarity NPD9448 Phase 2
0.561 Remote Similarity NPD3172 Approved
0.5263 Remote Similarity NPD622 Pre-clinical
0.5208 Remote Similarity NPD39 Phase 4

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