Natural Product: NPC54766

Natural Product IDNPC54766
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
13(E),17-Octadecadiene-9,11-Diynoic Acid
IUPAC Name (13E)-octadeca-13,17-dien-9,11-diynoic acid
Synonyms 13,14-dihydrooropheic acid
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL449730
PubChem CID 10355900
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000262] Fatty acids and conjugates
          • [CHEMONTID:0002949] Long-chain fatty acids

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 GYLJVPBWGZUNMB-AATRIKPKSA-N
Standard InCHI InChI=1S/C18H24O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18(19)20/h2,5-6H,1,3-4,11-17H2,(H,19,20)/b6-5+
SMILES C=CCC/C=C/C#CC#CCCCCCCCC(=O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   272.18 Volume:   319.009
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Van der Waals volume.
Dense:   0.853 LogP:   5.277
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   3.155
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.471
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   5.0
TPSA:   37.3
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Topological Polar Surface Area.
H-Bond Acceptor:   2.0
H-Bond Donor:   1.0 Rings:   0.0
Heavy Atoms:   2.0

MedChem Properties

QED Drug-Likeness Score:   0.365 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.067 Fsp3:   0.5
MCE-18:   0.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Rejected
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Rejected BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.003 Fluc inhibitor:   0.009
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.007
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.107
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.899 Promiscuous compounds:   0.084

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.04 MDCK Permeability:   -4.676
Pgp-inhibitor:   0.007 Pgp-substrate:   0.0
PAMPA:   0.97
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The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.012
20% Bioavailability (F20%):   0.003 30% Bioavailability (F30%):   0.011
50% Bioavailability (F50%):   0.781

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.058
Plasma Protein Binding (PPB):   99.393% Volume Distribution (VD):   -0.227
Fu: 0.226%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.025
OATP1B3 inhibitor:   0.08 BCRP inhibitor:   0.892
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.99
CYP2C19-inhibitor:   0.004 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.007
CYP2D6-inhibitor:   0.769 CYP2D6-substrate:   0.183
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.999
CYP2B6-substrate:   0.833 CYP2C8-inhibitor:   1.0
HLM stability:   0.0
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  3.907 Half-life (T1/2):  0.869

ADMET: Toxicity

hERG Blockers:  0.039 hERG Blockers (10um):  0.195
Human Hepatotoxicity (H-HT):  0.373 Drug-induced Liver Injury (DILI):  0.485
AMES Toxicity:  0.189 Rat Oral Acute Toxicity:  0.295
Maximum Recommended Daily Dose:  0.422 Skin Sensitization:  0.825
Carcinogencity:  0.384 Eye Corrosion:  0.978
Eye Irritation:  0.997 Respiratory Toxicity:  0.96
Drug-induced Neurotoxicity:  0.216 Ototoxicity:  0.432
Hematotoxicity:  0.174 Drug-induced Nephrotoxicity:  0.158
Genotoxicity:  0.005 RPMI-8226 Immunitoxicity:  0.035
A549 Cytotoxicity:  0.005 Hek293 Cytotoxicity:  0.049
BCF:   1.238
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Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   4.108
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.491
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.413
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO431 Mitrephora celebica Species Annonaceae Eukaryota n.a. n.a. n.a. PMID[11678665]
NPO40197 Meiogyne baillonii Species Annonaceae Eukaryota Bark n.a. n.a. PMID[29969260]
NPO40197 Meiogyne baillonii Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO431 Mitrephora celebica Species Annonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO431 Mitrephora celebica Species Annonaceae 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
NPT25930 Single protein Rho guanine nucleotide exchange factor 1 Homo sapiens Inhibition = 0.0 % PMID[29969260]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT602 Organism Mycobacterium smegmatis Mycobacterium smegmatis MIC = 12.5 ug.mL-1 PMID[22137934]
NPT16 Organism Staphylococcus aureus Staphylococcus aureus MIC = 25.0 ug.mL-1 PMID[22137934]

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 NPC54766 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
0.8293 Intermediate Similarity NPC187777
0.8049 Intermediate Similarity NPC274290
0.7381 Intermediate Similarity NPC28205
0.7073 Intermediate Similarity NPC18357
0.6444 Remote Similarity NPC179764
0.6383 Remote Similarity NPC226592
0.62 Remote Similarity NPC225066
0.6122 Remote Similarity NPC45626
0.6042 Remote Similarity NPC129458
0.6042 Remote Similarity NPC303765
0.5714 Remote Similarity NPC267817
0.5625 Remote Similarity NPC473863
0.5476 Remote Similarity NPC73245
0.5435 Remote Similarity NPC225929
0.5319 Remote Similarity NPC304162
0.5294 Remote Similarity NPC470410
0.5294 Remote Similarity NPC470412
0.525 Remote Similarity NPC180534
0.525 Remote Similarity NPC611531
0.5238 Remote Similarity NPC8219
0.5128 Remote Similarity NPC604140
0.5102 Remote Similarity NPC100096

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC54766 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
0.525 Remote Similarity NPD622 Pre-clinical

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