Natural Product: NPC473735

Natural Product IDNPC473735
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(3S,14R)-Petrocortyne G
IUPAC Name (3S,4E,14R,21Z,28E,43Z)-hexatetraconta-4,21,28,43-tetraen-1,12,15,45-tetrayne-3,14,27-triol
Synonyms (3S,14R)-Petrocortyne G
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL450608
PubChem CID 10985247
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 BBSNNCKQYMKHNA-KBIDCZRZSA-N
Standard InCHI InChI=1S/C46H70O3/c1-3-5-6-7-8-9-10-11-12-13-14-15-16-19-25-30-35-40-45(48)41-36-31-26-20-17-18-21-27-32-37-42-46(49)43-38-33-28-23-22-24-29-34-39-44(47)4-2/h1-2,5-6,17,20,34-35,39-40,44-49H,7-16,18-19,21-33,36,41H2/b6-5-,20-17-,39-34+,40-35+/t44-,45?,46+/m1/s1
SMILES C#C/C=CCCCCCCCCCCCCC/C=C/C(CCCC/C=CCCCCC#C[C@@H](C#CCCCCCC/C=C/[C@@H](C#C)O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   670.53 Volume:   798.905
?
Van der Waals volume.
Dense:   0.839 LogP:   8.851
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.892
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -8.897
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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
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.671 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:   0.0
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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:   0.033

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.061 MDCK Permeability:   -4.565
Pgp-inhibitor:   0.058 Pgp-substrate:   0.0
PAMPA:   0.0
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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):   0.0
20% Bioavailability (F20%):   0.007 30% Bioavailability (F30%):   0.959
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.0
Plasma Protein Binding (PPB):   101.488% Volume Distribution (VD):   0.445
Fu: 0.004%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.0
OATP1B3 inhibitor:   0.929 BCRP inhibitor:   0.999
BSEP inhibitor:   1.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   0.032 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   1.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.386 CYP2D6-substrate:   1.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 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):  3.844 Half-life (T1/2):  1.663

ADMET: Toxicity

hERG Blockers:  0.077 hERG Blockers (10um):  0.744
Human Hepatotoxicity (H-HT):  0.837 Drug-induced Liver Injury (DILI):  0.001
AMES Toxicity:  0.054 Rat Oral Acute Toxicity:  0.512
Maximum Recommended Daily Dose:  0.992 Skin Sensitization:  1.0
Carcinogencity:  0.119 Eye Corrosion:  0.043
Eye Irritation:  0.479 Respiratory Toxicity:  1.0
Drug-induced Neurotoxicity:  0.013 Ototoxicity:  0.837
Hematotoxicity:  0.0 Drug-induced Nephrotoxicity:  0.923
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.399
A549 Cytotoxicity:  0.83 Hek293 Cytotoxicity:  0.965
BCF:   -0.062
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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:   6.334
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   8.832
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.971
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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
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. (15-25 m depth) off Komun Island, Korea 1995-JUL PMID[10217707]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[10346968]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[11170665]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[11754614]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. Indonesia 1996 PMID[18327911]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. Miyako sea-knoll, southwestern Japan (2525.64' N, 12542.48' E), at a depth of 415 m 2009-OCT PMID[21534590]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. American Samoa n.a. PMID[23368996]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[26821210]
NPO32667 Petrosia sp. Species Petrosiidae Eukaryota n.a. n.a. n.a. PMID[9917297]
NPO32667 Petrosia sp. Species Petrosiidae 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
NPT317 Nucleic acid Nucleic Acid n.a. Inhibition = 8.0 % DOI[10.6019/CHEMBL1201861]
NPT317 Nucleic acid Nucleic Acid n.a. Inhibition = 55.0 % PMID[20805391]

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT81 Cell line A549 Homo sapiens ED50 = 4.0 ug ml-1 PMID[23398362]
NPT146 Cell line SK-OV-3 Homo sapiens ED50 = 1.2 ug ml-1 PMID[23398362]
NPT147 Cell line SK-MEL-2 Homo sapiens ED50 = 0.5 ug ml-1 DOI[10.6019/CHEMBL1201861]
NPT574 Cell line XF498 Homo sapiens ED50 = 3.5 ug ml-1 PMID[20160052]
NPT148 Cell line HCT-15 Homo sapiens ED50 = 1.4 ug ml-1 PMID[17455978]

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 NPC473735 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 NPC473896
0.975 High Similarity NPC473847
0.975 High Similarity NPC473721
0.975 High Similarity NPC473725
0.975 High Similarity NPC473910
0.975 High Similarity NPC475384
0.8718 High Similarity NPC89824
0.8718 High Similarity NPC475477
0.8718 High Similarity NPC256656
0.8718 High Similarity NPC294278
0.8718 High Similarity NPC477723
0.7955 Intermediate Similarity NPC473532
0.7727 Intermediate Similarity NPC329608
0.7561 Intermediate Similarity NPC197272
0.7381 Intermediate Similarity NPC26102
0.7381 Intermediate Similarity NPC477724
0.7234 Intermediate Similarity NPC473652
0.7111 Intermediate Similarity NPC224148
0.7111 Intermediate Similarity NPC477725
0.68 Remote Similarity NPC168407
0.6585 Remote Similarity NPC161838
0.6304 Remote Similarity NPC48058
0.6279 Remote Similarity NPC187361
0.619 Remote Similarity NPC55383
0.6047 Remote Similarity NPC471960
0.6047 Remote Similarity NPC477727
0.5714 Remote Similarity NPC477726
0.5614 Remote Similarity NPC594
0.5614 Remote Similarity NPC48968
0.5385 Remote Similarity NPC170776
0.5385 Remote Similarity NPC9273
0.5385 Remote Similarity NPC165447
0.5385 Remote Similarity NPC471959
0.5385 Remote Similarity NPC199286
0.5385 Remote Similarity NPC489046
0.5385 Remote Similarity NPC76198
0.5385 Remote Similarity NPC610719
0.537 Remote Similarity NPC470967
0.537 Remote Similarity NPC470968
0.5294 Remote Similarity NPC470969
0.5273 Remote Similarity NPC601905
0.5273 Remote Similarity NPC603973
0.5263 Remote Similarity NPC475984
0.525 Remote Similarity NPC607242
0.5192 Remote Similarity NPC470965
0.5128 Remote Similarity NPC125122
0.5128 Remote Similarity NPC471276
0.5128 Remote Similarity NPC471280
0.5128 Remote Similarity NPC471281

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC473735 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