Natural Product: NPC500992

Natural Product IDNPC500992
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
FKLSONDBCYHMOQ-UHFFFAOYSA-N
IUPAC Name dodec-9-enoic acid
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

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 FKLSONDBCYHMOQ-UHFFFAOYSA-N
Standard InCHI InChI=1S/C12H22O2/c1-2-3-4-5-6-7-8-9-10-11-12(13)14/h3-4H,2,5-11H2,1H3,(H,13,14)
SMILES CCC=CCCCCCCCC(=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
NPO59685 Streptomyces sp. mNP10 Genus Streptomycetaceae Bacteria n.a. n.a. n.a. Database[COCONUT]
NPO56232 Afzelia cuanzesis Genus Fabaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]

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

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 NPC500992 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
0.8966 High Similarity NPC52955
0.8966 High Similarity NPC88966
0.8966 High Similarity NPC25417
0.8966 High Similarity NPC1813
0.8889 High Similarity NPC281245
0.8621 High Similarity NPC70387
0.8571 High Similarity NPC424
0.8571 High Similarity NPC36061
0.8571 High Similarity NPC69510
0.8571 High Similarity NPC77272
0.8571 High Similarity NPC290563
0.8571 High Similarity NPC139029
0.8571 High Similarity NPC281972
0.8571 High Similarity NPC261831
0.8571 High Similarity NPC87564
0.7931 Intermediate Similarity NPC92114
0.7742 Intermediate Similarity NPC154245
0.7742 Intermediate Similarity NPC85813
0.7742 Intermediate Similarity NPC223697
0.7742 Intermediate Similarity NPC6095
0.7667 Intermediate Similarity NPC149821
0.7667 Intermediate Similarity NPC95145
0.7667 Intermediate Similarity NPC325642
0.7667 Intermediate Similarity NPC65174
0.7419 Intermediate Similarity NPC321062
0.6897 Remote Similarity NPC180534
0.6897 Remote Similarity NPC611531
0.6875 Remote Similarity NPC5413
0.6857 Remote Similarity NPC606120
0.6667 Remote Similarity NPC59051
0.6538 Remote Similarity NPC214610
0.6538 Remote Similarity NPC118968
0.6538 Remote Similarity NPC183424
0.6538 Remote Similarity NPC294085
0.6486 Remote Similarity NPC477201
0.6452 Remote Similarity NPC34416
0.6452 Remote Similarity NPC117572
0.6429 Remote Similarity NPC171736
0.6429 Remote Similarity NPC301585
0.6429 Remote Similarity NPC261080
0.6429 Remote Similarity NPC132565
0.6429 Remote Similarity NPC209970
0.6429 Remote Similarity NPC216630
0.6429 Remote Similarity NPC201844
0.6429 Remote Similarity NPC301696
0.6429 Remote Similarity NPC196924
0.6429 Remote Similarity NPC307783
0.6429 Remote Similarity NPC154186
0.6429 Remote Similarity NPC149184
0.6429 Remote Similarity NPC279026
0.6429 Remote Similarity NPC113928
0.6429 Remote Similarity NPC14227
0.6389 Remote Similarity NPC225929
0.6364 Remote Similarity NPC91495
0.6154 Remote Similarity NPC243532
0.6154 Remote Similarity NPC268826
0.6071 Remote Similarity NPC155263
0.6061 Remote Similarity NPC207292
0.6053 Remote Similarity NPC106851
0.6053 Remote Similarity NPC282788
0.6053 Remote Similarity NPC274927
0.6 Remote Similarity NPC68343
0.6 Remote Similarity NPC328089
0.5897 Remote Similarity NPC179764
0.5882 Remote Similarity NPC48162
0.5806 Remote Similarity NPC55023
0.5806 Remote Similarity NPC21844
0.575 Remote Similarity NPC251042
0.575 Remote Similarity NPC255863
0.575 Remote Similarity NPC473863
0.575 Remote Similarity NPC174447
0.575 Remote Similarity NPC136164
0.575 Remote Similarity NPC122521
0.575 Remote Similarity NPC245947
0.5714 Remote Similarity NPC175342
0.5714 Remote Similarity NPC174560
0.5714 Remote Similarity NPC125312
0.5667 Remote Similarity NPC604140
0.561 Remote Similarity NPC318420
0.561 Remote Similarity NPC326268
0.5556 Remote Similarity NPC134782
0.5526 Remote Similarity NPC487561
0.5455 Remote Similarity NPC314679
0.5429 Remote Similarity NPC294548
0.5366 Remote Similarity NPC187777
0.5349 Remote Similarity NPC26500
0.5294 Remote Similarity NPC8219
0.5185 Remote Similarity NPC174368
0.5152 Remote Similarity NPC50457
0.5152 Remote Similarity NPC604910
0.5143 Remote Similarity NPC18712
0.5143 Remote Similarity NPC74845
0.5128 Remote Similarity NPC284212
0.5122 Remote Similarity NPC274290
0.5116 Remote Similarity NPC320642
0.5116 Remote Similarity NPC329550

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC500992 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
0.8966 High Similarity NPD3172 Approved
0.8571 High Similarity NPD3195 Phase 2
0.8571 High Similarity NPD3196 Approved
0.7742 Intermediate Similarity NPD4266 Phase 2
0.6897 Remote Similarity NPD622 Pre-clinical
0.6875 Remote Similarity NPD3173 Phase 4
0.6857 Remote Similarity NPD3194 Phase 4
0.6842 Remote Similarity NPD39 Phase 4
0.6538 Remote Similarity NPD9655 Phase 4
0.6452 Remote Similarity NPD4222 Phase 3
0.6429 Remote Similarity NPD2270 Pre-clinical
0.6429 Remote Similarity NPD633 Phase 3
0.6429 Remote Similarity NPD9448 Phase 2

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