Natural Product: NPC125578

Natural Product IDNPC125578
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
2-Hydroxy-5-Methoxy-3-Hexadecyl-1,4-Benzoquinone
IUPAC Name 3-hexadecyl-2-hydroxy-5-methoxycyclohexa-2,5-diene-1,4-dione
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL3416175
PubChem CID 5318477
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003487] Cyclic ketones
              • [CHEMONTID:0002495] Quinones
                • [CHEMONTID:0002384] Benzoquinones
                  • [CHEMONTID:0002494] P-benzoquinones

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 WQIANGZKDMBPFV-UHFFFAOYSA-N
Standard InCHI InChI=1S/C23H38O4/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-19-22(25)20(24)18-21(27-2)23(19)26/h18,25H,3-17H2,1-2H3
SMILES CCCCCCCCCCCCCCCCC1=C(O)C(=O)C=C(C1=O)OC

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   378.28 Volume:   422.423
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Van der Waals volume.
Dense:   0.896 LogP:   6.745
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   4.2
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -4.33
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The logarithm of aqueous solubility value.
Rotatable Bonds:   16.0 Rigid Bonds:   8.0
TPSA:   63.6
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Topological Polar Surface Area.
H-Bond Acceptor:   4.0
H-Bond Donor:   1.0 Rings:   1.0
Heavy Atoms:   4.0

MedChem Properties

QED Drug-Likeness Score:   0.251 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   2.509 Fsp3:   0.739
MCE-18:   8.0
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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:   1
Colloidal aggregators:   0.66 Fluc inhibitor:   0.949
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.012
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.159
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.897 Promiscuous compounds:   0.178

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -5.024 MDCK Permeability:   -4.834
Pgp-inhibitor:   0.012 Pgp-substrate:   0.028
PAMPA:   0.003
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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):   0.994
20% Bioavailability (F20%):   0.958 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.001 MRP1:   0.97
Plasma Protein Binding (PPB):   99.54% Volume Distribution (VD):   1.245
Fu: 0.892%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.897
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.851
BSEP inhibitor:   0.707

ADMET: Metabolism

CYP1A2-inhibitor:   0.237 CYP1A2-substrate:   0.989
CYP2C19-inhibitor:   0.016 CYP2C19-substrate:   0.453
CYP2C9-inhibitor:   0.998 CYP2C9-substrate:   0.864
CYP2D6-inhibitor:   0.977 CYP2D6-substrate:   0.082
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.419 CYP2C8-inhibitor:   0.967
HLM stability:   0.165
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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):  3.243 Half-life (T1/2):  1.609

ADMET: Toxicity

hERG Blockers:  0.257 hERG Blockers (10um):  0.647
Human Hepatotoxicity (H-HT):  0.641 Drug-induced Liver Injury (DILI):  0.345
AMES Toxicity:  0.148 Rat Oral Acute Toxicity:  0.287
Maximum Recommended Daily Dose:  0.498 Skin Sensitization:  0.982
Carcinogencity:  0.427 Eye Corrosion:  0.892
Eye Irritation:  0.995 Respiratory Toxicity:  0.93
Drug-induced Neurotoxicity:  0.049 Ototoxicity:  0.15
Hematotoxicity:  0.407 Drug-induced Nephrotoxicity:  0.206
Genotoxicity:  0.0 RPMI-8226 Immunitoxicity:  0.073
A549 Cytotoxicity:  0.623 Hek293 Cytotoxicity:  0.218
BCF:   0.71
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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:   4.964
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   6.568
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   5.005
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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
NPO1859 Lantana camara Species Verbenaceae Eukaryota aerial parts n.a. n.a. PMID[10869197]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. PMID[1812212]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. PMID[33780581]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. PMID[36270431]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. PMID[38257257]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. PMID[38893531]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. PMID[39104562]
NPO1859 Lantana camara Species Verbenaceae Eukaryota leaves n.a. n.a. PMID[9834145]
NPO942 Perophora namei Species Perophoridae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3733 Senecio triangularis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2781 Iris kumaonensis Species Tarachodidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2566 Nocardiopsaceae Species Nocardiopsaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO6516 Aspidosperma megalocarpon Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3733 Senecio triangularis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1859 Lantana camara Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5561 Thenea muricata Species Theneidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO942 Perophora namei Species Perophoridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2781 Iris kumaonensis Species Tarachodidae 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
NPT1119 Individual protein Arachidonate 12-lipoxygenase Homo sapiens Activity = 137.5 % PMID[25765759]
NPT3167 Individual protein Macrophage-expressed gene 1 protein Homo sapiens IC50 > 10000.0 nM PMID[25765759]
NPT3167 Individual protein Macrophage-expressed gene 1 protein Homo sapiens Activity = 68.4 % PMID[25765759]
NPT792 Individual protein Arachidonate 15-lipoxygenase Homo sapiens Activity = 118.9 % PMID[25765759]
NPT570 Individual protein Arachidonate 5-lipoxygenase Homo sapiens Activity = 60.1 % PMID[25765759]
NPT570 Individual protein Arachidonate 5-lipoxygenase Homo sapiens IC50 > 10000.0 nM PMID[25765759]
NPT570 Individual protein Arachidonate 5-lipoxygenase Homo sapiens IC50 = 1000.0 nM PMID[25765759]
NPT570 Individual protein Arachidonate 5-lipoxygenase Homo sapiens IC50 = 1100.0 nM PMID[25765759]

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 NPC125578 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 NPC243272
1.0 High Similarity NPC146376
0.8718 High Similarity NPC94743
0.7949 Intermediate Similarity NPC264178
0.7674 Intermediate Similarity NPC291062
0.6923 Remote Similarity NPC53109
0.6889 Remote Similarity NPC262673
0.5745 Remote Similarity NPC487227
0.5476 Remote Similarity NPC606251
0.537 Remote Similarity NPC603676
0.5238 Remote Similarity NPC7029
0.5238 Remote Similarity NPC143168
0.5116 Remote Similarity NPC474400
0.5116 Remote Similarity NPC98897
0.5116 Remote Similarity NPC151728
0.5116 Remote Similarity NPC34622
0.5111 Remote Similarity NPC134385

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC125578 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
0.5238 Remote Similarity NPD2664 Clinical (unspecified phase)

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