Natural Product: NPC208229

Natural Product IDNPC208229
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
(6E,10E,14E)-16-(2,5-Dihydroxy-3-Methylphenyl)-2,6,10,14-Tetramethylhexadeca-2,6,10,14-Tetraene-4,12-Dione
IUPAC Name (6E,10E,14E)-16-(2,5-dihydroxy-3-methylphenyl)-2,6,10,14-tetramethylhexadeca-2,6,10,14-tetraene-4,12-dione
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL462111
PubChem CID 10387653
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

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 SKFIILPFPHFEQW-WJNRHBMWSA-N
Standard InCHI InChI=1S/C27H36O4/c1-18(2)12-24(28)13-19(3)8-7-9-20(4)14-25(29)15-21(5)10-11-23-17-26(30)16-22(6)27(23)31/h8,10,12,14,16-17,30-31H,7,9,11,13,15H2,1-6H3/b19-8+,20-14+,21-10+
SMILES C/C(=CC(=O)C/C(=C/Cc1cc(O)cc(c1O)C)/C)/CC/C=C(/CC(=O)C=C(C)C)C

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   424.26 Volume:   478.424
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Van der Waals volume.
Dense:   0.887 LogP:   6.113
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.15
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.906
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   12.0
TPSA:   74.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   2.0 Rings:   1.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.243 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   3.431 Fsp3:   0.407
MCE-18:   13.0
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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:   1
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.943 Fluc inhibitor:   0.161
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.008
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.228
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.658 Promiscuous compounds:   0.03

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.954 MDCK Permeability:   -4.778
Pgp-inhibitor:   0.851 Pgp-substrate:   0.0
PAMPA:   0.011
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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%):   0.052 30% Bioavailability (F30%):   0.056
50% Bioavailability (F50%):   0.93

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.915
Plasma Protein Binding (PPB):   96.251% Volume Distribution (VD):   -0.052
Fu: 3.214%
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The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.001
BSEP inhibitor:   0.963

ADMET: Metabolism

CYP1A2-inhibitor:   0.7 CYP1A2-substrate:   0.98
CYP2C19-inhibitor:   0.998 CYP2C19-substrate:   0.326
CYP2C9-inhibitor:   0.31 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.602 CYP2D6-substrate:   0.003
CYP3A4-inhibitor:   0.965 CYP3A4-substrate:   0.191
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.457
HLM stability:   0.995
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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):  8.112 Half-life (T1/2):  0.866

ADMET: Toxicity

hERG Blockers:  0.14 hERG Blockers (10um):  0.621
Human Hepatotoxicity (H-HT):  0.803 Drug-induced Liver Injury (DILI):  0.109
AMES Toxicity:  0.175 Rat Oral Acute Toxicity:  0.4
Maximum Recommended Daily Dose:  0.877 Skin Sensitization:  0.962
Carcinogencity:  0.385 Eye Corrosion:  0.0
Eye Irritation:  0.446 Respiratory Toxicity:  0.917
Drug-induced Neurotoxicity:  0.414 Ototoxicity:  0.67
Hematotoxicity:  0.351 Drug-induced Nephrotoxicity:  0.481
Genotoxicity:  0.758 RPMI-8226 Immunitoxicity:  0.152
A549 Cytotoxicity:  0.477 Hek293 Cytotoxicity:  0.693
BCF:   2.104
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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:   5.541
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.794
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   6.395
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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
NPO8863 Cystoseira crinita Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[12880316]
NPO8863 Cystoseira crinita Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO8863 Cystoseira crinita Species Sargassaceae 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

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 13.6 % PMID[12880316]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 20.3 % PMID[12880316]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 39.9 % PMID[12880316]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 70.1 % PMID[12880316]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 72.2 % PMID[12880316]
NPT1 Others Radical scavenging activity n.a. Activity = 7.6 % PMID[19035792]
NPT1 Others Radical scavenging activity n.a. Activity = 14.3 % PMID[22884991]
NPT1 Others Radical scavenging activity n.a. Activity = 29.1 % PMID[9784156]
NPT1 Others Radical scavenging activity n.a. Activity = 80.8 % PubChem BioAssay data set
NPT1 Others Radical scavenging activity n.a. Activity = 95.7 % PMID[7400820]
NPT1 Others Radical scavenging activity n.a. Activity = 95.5 % DrugMatrix in vitro pharmacology data
NPT35 Others n.a. n.a. Activity = 0.37 mmol/L PubChem BioAssay data set
NPT2 Others Unspecified n.a. Activity = 1.39 mmol/L PMID[26765953]

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 NPC208229 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
0.9216 High Similarity NPC282855
0.9216 High Similarity NPC26013
0.92 High Similarity NPC68260
0.92 High Similarity NPC279887
0.8214 Intermediate Similarity NPC28784
0.8214 Intermediate Similarity NPC296144
0.8103 Intermediate Similarity NPC474050
0.6984 Remote Similarity NPC474114
0.6818 Remote Similarity NPC278832
0.6818 Remote Similarity NPC64157
0.5758 Remote Similarity NPC114918

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC208229 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