Natural Product: NPC473910

Natural Product IDNPC473910
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.
Petrocortyne E
IUPAC Name (3R,4E,14R,22E,27Z,43Z)-hexatetraconta-4,22,27,43-tetraen-1,12,15,45-tetrayne-3,14,21-triol
Synonyms Petrocortyne E
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL455028
PubChem CID 10604495
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001334] Fatty alcohols

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 YDDFBFYVVQPBKW-IHCRENFYSA-N
Standard InCHI InChI=1S/C46H70O3/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-27-30-35-40-45(48)42-37-32-33-38-43-46(49)41-36-31-28-25-24-26-29-34-39-44(47)4-2/h1-2,5-6,21-22,34-35,39-40,44-49H,7-20,23-33,37,42H2/b6-5-,22-21-,39-34+,40-35+/t44-,45?,46+/m0/s1
SMILES C#CC=CCCCCCCCCCCCCCCC=CCCCC=CC(CCCCC#CC(C#CCCCCCCC=CC(C#C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   670.53 Volume:   798.905
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Van der Waals volume.
Dense:   0.839 LogP:   9.393
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.957
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -9.153
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The logarithm of aqueous solubility value.
Rotatable Bonds:   31.0 Rigid Bonds:   8.0
TPSA:   60.69
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Topological Polar Surface Area.
H-Bond Acceptor:   3.0
H-Bond Donor:   3.0 Rings:   0.0
Heavy Atoms:   3.0

MedChem Properties

QED Drug-Likeness Score:   0.039 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.696 Fsp3:   0.652
MCE-18:   3.0
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MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Accepted GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.665 Fluc inhibitor:   0.001
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.001
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.001
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.665 Promiscuous compounds:   0.004

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.053 MDCK Permeability:   -4.674
Pgp-inhibitor:   0.0 Pgp-substrate:   0.0
PAMPA:   0.009
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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):   0.013
20% Bioavailability (F20%):   0.001 30% Bioavailability (F30%):   0.171
50% Bioavailability (F50%):   0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   100.664% Volume Distribution (VD):   0.866
Fu: 0.017%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.993 BCRP inhibitor:   1.0
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.996 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.989 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.262
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   0.0
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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):  3.904 Half-life (T1/2):  2.103

ADMET: Toxicity

hERG Blockers:  0.089 hERG Blockers (10um):  0.915
Human Hepatotoxicity (H-HT):  0.606 Drug-induced Liver Injury (DILI):  0.0
AMES Toxicity:  0.233 Rat Oral Acute Toxicity:  0.534
Maximum Recommended Daily Dose:  0.986 Skin Sensitization:  1.0
Carcinogencity:  0.003 Eye Corrosion:  0.139
Eye Irritation:  0.804 Respiratory Toxicity:  1.0
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.992
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.852
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.144
A549 Cytotoxicity:  0.005 Hek293 Cytotoxicity:  0.794
BCF:   -0.098
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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:   6.113
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   8.55
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.253
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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
NPO30927 Petrosia Genus Petrosiidae Eukaryota n.a. n.a. n.a. PMID[10514299]
NPO30927 Petrosia Genus Petrosiidae Eukaryota n.a. n.a. n.a. PMID[21534590]
NPO30927 Petrosia Genus Petrosiidae Eukaryota n.a. n.a. n.a. PMID[9784165]

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
NPT545 Individual protein Phospholipase A2 group 1B Homo sapiens Inhibition = 48.0 % PubChem BioAssay data set

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 NPC473910 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 NPC473847
1.0 High Similarity NPC473721
1.0 High Similarity NPC475384
0.975 High Similarity NPC473896
0.975 High Similarity NPC473735
0.9512 High Similarity NPC473725
0.85 High Similarity NPC89824
0.85 High Similarity NPC475477
0.85 High Similarity NPC256656
0.85 High Similarity NPC294278
0.85 High Similarity NPC477723
0.7778 Intermediate Similarity NPC473532
0.7556 Intermediate Similarity NPC329608
0.7381 Intermediate Similarity NPC197272
0.7209 Intermediate Similarity NPC26102
0.7209 Intermediate Similarity NPC477724
0.7083 Intermediate Similarity NPC473652
0.6957 Remote Similarity NPC224148
0.6957 Remote Similarity NPC477725
0.6667 Remote Similarity NPC168407
0.6429 Remote Similarity NPC161838
0.617 Remote Similarity NPC48058
0.6136 Remote Similarity NPC187361
0.6047 Remote Similarity NPC55383
0.5909 Remote Similarity NPC471960
0.5909 Remote Similarity NPC477727
0.56 Remote Similarity NPC477726
0.5517 Remote Similarity NPC594
0.5517 Remote Similarity NPC48968
0.55 Remote Similarity NPC607242
0.5273 Remote Similarity NPC470967
0.5273 Remote Similarity NPC470968
0.525 Remote Similarity NPC170776
0.525 Remote Similarity NPC9273
0.525 Remote Similarity NPC165447
0.525 Remote Similarity NPC471959
0.525 Remote Similarity NPC199286
0.525 Remote Similarity NPC489046
0.525 Remote Similarity NPC76198
0.525 Remote Similarity NPC610719
0.5192 Remote Similarity NPC470969
0.5179 Remote Similarity NPC601905
0.5179 Remote Similarity NPC603973
0.5172 Remote Similarity NPC475984
0.5094 Remote Similarity NPC470965

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473910 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