Natural Product: NPC163165

Natural Product IDNPC163165
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
6-[6-(4-O-Beta-D-Glucopyranosyloxy-3-Methoxybenzoyl)]-O-Beta-D-Glucopyranosyloxy-7-Hydroxycoumarin
IUPAC Name [(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-(7-hydroxy-2-oxochromen-6-yl)oxyoxan-2-yl]methyl 3-methoxy-4-[(2S,3R,4S,5S,6R)-3,4,5-trihydroxy-6-(hydroxymethyl)oxan-2-yl]oxybenzoate
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL389851
PubChem CID 16681193
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000238] Tannins
        • [CHEMONTID:0001710] Hydrolyzable tannins

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 GLBGTIVKNQKHLD-BTXJZROQSA-N
Standard InCHI InChI=1S/C29H32O17/c1-40-17-7-12(2-4-14(17)43-28-25(37)23(35)21(33)18(9-30)45-28)27(39)41-10-19-22(34)24(36)26(38)29(46-19)44-16-6-11-3-5-20(32)42-15(11)8-13(16)31/h2-8,18-19,21-26,28-31,33-38H,9-10H2,1H3/t18-,19-,21-,22-,23+,24+,25-,26-,28-,29-/m1/s1
SMILES OC[C@H]1O[C@@H](Oc2ccc(cc2OC)C(=O)OC[C@H]2O[C@@H](Oc3cc4ccc(=O)oc4cc3O)[C@@H]([C@H]([C@@H]2O)O)O)[C@@H]([C@H]([C@@H]1O)O)O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   652.16 Volume:   593.063
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Van der Waals volume.
Dense:   1.1 LogP:   -1.377
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.133
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.915
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The logarithm of aqueous solubility value.
Rotatable Bonds:   10.0 Rigid Bonds:   31.0
TPSA:   264.5
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Topological Polar Surface Area.
H-Bond Acceptor:   17.0
H-Bond Donor:   8.0 Rings:   5.0
Heavy Atoms:   17.0

MedChem Properties

QED Drug-Likeness Score:   0.089 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.647 Fsp3:   0.448
MCE-18:   118.19
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.645 Fluc inhibitor:   0.355
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.955
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.625
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.076 Promiscuous compounds:   0.343

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.428 MDCK Permeability:   -5.18
Pgp-inhibitor:   0.0 Pgp-substrate:   0.002
PAMPA:   0.998
?
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):   0.033
20% Bioavailability (F20%):   0.924 30% Bioavailability (F30%):   0.998
50% Bioavailability (F50%):   0.97

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.867
Plasma Protein Binding (PPB):   68.276% Volume Distribution (VD):   -0.411
Fu: 34.192%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.0
BSEP inhibitor:   0.019

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.003 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.001 CYP3A4-substrate:   0.006
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.737
HLM stability:   0.384
?
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):  1.359 Half-life (T1/2):  4.404

ADMET: Toxicity

hERG Blockers:  0.013 hERG Blockers (10um):  0.08
Human Hepatotoxicity (H-HT):  0.301 Drug-induced Liver Injury (DILI):  0.995
AMES Toxicity:  0.898 Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.015 Skin Sensitization:  0.99
Carcinogencity:  0.2 Eye Corrosion:  0.0
Eye Irritation:  0.034 Respiratory Toxicity:  0.001
Drug-induced Neurotoxicity:  0.001 Ototoxicity:  0.95
Hematotoxicity:  0.053 Drug-induced Nephrotoxicity:  0.723
Genotoxicity:  0.698 RPMI-8226 Immunitoxicity:  0.258
A549 Cytotoxicity:  0.277 Hek293 Cytotoxicity:  0.23
BCF:   0.387
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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:   3.19
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.856
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.957
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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
NPO30984 Fraxinus sieboldiana Species Oleaceae Eukaryota stem bark n.a. n.a. PMID[17461599]
NPO30984 Fraxinus sieboldiana Species Oleaceae Eukaryota n.a. stem n.a. PMID[20961093]
NPO30984 Fraxinus sieboldiana Species Oleaceae Eukaryota Stem bark Lu Mountain, Jiangxi Province, China 2004-AUG PMID[20961093]
NPO30984 Fraxinus sieboldiana Species Oleaceae Eukaryota n.a. n.a. n.a. PMID[26697686]
NPO30984 Fraxinus sieboldiana Species Oleaceae 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

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT179 Cell line A2780 Homo sapiens IC50 > 5000.0 nM PMID[20553004]
NPT180 Cell line HCT-8 Homo sapiens IC50 > 5000.0 nM PMID[20553004]
NPT81 Cell line A549 Homo sapiens IC50 > 5000.0 nM PMID[7623047]
NPT1084 Subcellular Liver microsomes Rattus norvegicus IC50 > 10000.0 nM PMID[19654408]
NPT2 Others Unspecified n.a. Inhibition = 30.8 % PMID[16872140]

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 NPC163165 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
0.814 Intermediate Similarity NPC485745
0.7033 Intermediate Similarity NPC485744
0.679 Remote Similarity NPC212670
0.679 Remote Similarity NPC206264
0.6196 Remote Similarity NPC485743
0.5882 Remote Similarity NPC84482
0.5778 Remote Similarity NPC197708
0.5761 Remote Similarity NPC5786
0.5652 Remote Similarity NPC102851
0.5604 Remote Similarity NPC327032
0.5581 Remote Similarity NPC96294
0.5385 Remote Similarity NPC485746
0.5306 Remote Similarity NPC658
0.5185 Remote Similarity NPC169645
0.5165 Remote Similarity NPC213197
0.5106 Remote Similarity NPC311803

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC163165 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
0.679 Remote Similarity NPD1653 Approved

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