Natural Product: NPC189589

Natural Product IDNPC189589
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
4-Hydroxy-3,5-Dimethoxyphenyl Beta-D-Glucopyranosyl-(1->6)-Beta-D-Glucopyranoside
IUPAC Name (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[[(2R,3S,4S,5R,6S)-3,4,5-trihydroxy-6-(4-hydroxy-3,5-dimethoxyphenoxy)oxan-2-yl]methoxy]oxane-3,4,5-triol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL562563
PubChem CID 42638298
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0004165] Phenolic glycosides

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 BMQJMZFDNFDQNP-JFRFVCMESA-N
Standard InCHI InChI=1S/C20H30O14/c1-29-8-3-7(4-9(30-2)12(8)22)32-20-18(28)16(26)14(24)11(34-20)6-31-19-17(27)15(25)13(23)10(5-21)33-19/h3-4,10-11,13-28H,5-6H2,1-2H3/t10-,11-,13-,14-,15+,16+,17-,18-,19-,20-/m1/s1
SMILES OC[C@H]1O[C@@H](OC[C@H]2O[C@@H](Oc3cc(OC)c(c(c3)OC)O)[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:   494.16 Volume:   443.961
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Van der Waals volume.
Dense:   1.113 LogP:   -1.072
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   -0.337
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -1.014
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The logarithm of aqueous solubility value.
Rotatable Bonds:   8.0 Rigid Bonds:   18.0
TPSA:   217.22
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Topological Polar Surface Area.
H-Bond Acceptor:   14.0
H-Bond Donor:   8.0 Rings:   3.0
Heavy Atoms:   14.0

MedChem Properties

QED Drug-Likeness Score:   0.175 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.343 Fsp3:   0.7
MCE-18:   82.529
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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:   Rejected BMS Rule:   1
Chelating Alert:   1 PAINS Alert:   0
Colloidal aggregators:   0.435 Fluc inhibitor:   0.122
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.104
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.032
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.162 Promiscuous compounds:   0.232

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.355 MDCK Permeability:   -5.313
Pgp-inhibitor:   0.0 Pgp-substrate:   0.63
PAMPA:   0.802
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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):   0.98
20% Bioavailability (F20%):   0.034 30% Bioavailability (F30%):   0.967
50% Bioavailability (F50%):   0.948

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.006 MRP1:   0.228
Plasma Protein Binding (PPB):   68.77% Volume Distribution (VD):   -0.411
Fu: 32.906%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.201
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.008 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.004 CYP2C19-substrate:   0.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.0
CYP3A4-inhibitor:   0.0 CYP3A4-substrate:   0.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.167
HLM stability:   0.012
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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):  1.194 Half-life (T1/2):  4.68

ADMET: Toxicity

hERG Blockers:  0.011 hERG Blockers (10um):  0.046
Human Hepatotoxicity (H-HT):  0.508 Drug-induced Liver Injury (DILI):  0.819
AMES Toxicity:  0.927 Rat Oral Acute Toxicity:  0.003
Maximum Recommended Daily Dose:  0.002 Skin Sensitization:  0.996
Carcinogencity:  0.093 Eye Corrosion:  0.0
Eye Irritation:  0.062 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.004 Ototoxicity:  0.985
Hematotoxicity:  0.335 Drug-induced Nephrotoxicity:  0.803
Genotoxicity:  0.051 RPMI-8226 Immunitoxicity:  0.176
A549 Cytotoxicity:  0.251 Hek293 Cytotoxicity:  0.16
BCF:   0.113
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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:   2.316
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   3.91
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.1
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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
NPO33268 wheat n.a. n.a. n.a. wheat germ n.a. n.a. PMID[19284743]
NPO33268 wheat n.a. n.a. n.a. wheat bran n.a. n.a. PMID[21658963]
NPO33268 wheat n.a. n.a. n.a. 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
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Activity = 0.85 n.a. PMID[19284743]

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 NPC189589 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
0.9804 High Similarity NPC208769
0.7931 Intermediate Similarity NPC37074
0.7797 Intermediate Similarity NPC287780
0.7797 Intermediate Similarity NPC60982
0.7451 Intermediate Similarity NPC192810
0.7069 Intermediate Similarity NPC57751
0.6667 Remote Similarity NPC60756
0.6154 Remote Similarity NPC87696
0.6094 Remote Similarity NPC469622
0.5781 Remote Similarity NPC171533
0.5763 Remote Similarity NPC221090
0.5714 Remote Similarity NPC46958
0.5536 Remote Similarity NPC276195
0.5467 Remote Similarity NPC602634
0.5439 Remote Similarity NPC217854
0.5405 Remote Similarity NPC168358
0.5373 Remote Similarity NPC298845
0.5366 Remote Similarity NPC164047
0.5366 Remote Similarity NPC470452
0.5366 Remote Similarity NPC102028
0.5366 Remote Similarity NPC470453
0.5366 Remote Similarity NPC63105
0.5362 Remote Similarity NPC469621
0.5342 Remote Similarity NPC3293
0.5316 Remote Similarity NPC61791
0.5312 Remote Similarity NPC132895
0.5301 Remote Similarity NPC213052
0.5273 Remote Similarity NPC145112
0.5246 Remote Similarity NPC470270
0.5246 Remote Similarity NPC145900
0.5211 Remote Similarity NPC119125
0.5172 Remote Similarity NPC484157
0.5085 Remote Similarity NPC153149
0.507 Remote Similarity NPC213723
0.5065 Remote Similarity NPC229687
0.506 Remote Similarity NPC470448

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC189589 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