Natural Product: NPC270751

Natural Product IDNPC270751
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Woorenoside I
IUPAC Name (2R,3S,4S,5R,6R)-2-(hydroxymethyl)-6-[(E)-3-[(2R,3S)-3-(hydroxymethyl)-7-methoxy-2-(3,4,5-trimethoxyphenyl)-2,3-dihydro-1-benzofuran-5-yl]prop-2-enoxy]oxane-3,4,5-triol
Synonyms Woorenoside I
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL486989
PubChem CID 10347890
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0003405] 2-arylbenzofuran flavonoids

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 PFZHVYHTUGZLMZ-CDRUZBNESA-N
Standard InCHI InChI=1S/C28H36O12/c1-34-18-9-14(6-5-7-38-28-24(33)23(32)22(31)21(13-30)39-28)8-16-17(12-29)25(40-26(16)18)15-10-19(35-2)27(37-4)20(11-15)36-3/h5-6,8-11,17,21-25,28-33H,7,12-13H2,1-4H3/b6-5+/t17-,21-,22-,23+,24-,25+,28-/m1/s1
SMILES COc1cc(/C=C/CO[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)cc2[C@@H](CO)[C@H](c3cc(c(c(c3)OC)OC)OC)Oc12

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   564.22 Volume:   545.646
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Van der Waals volume.
Dense:   1.034 LogP:   1.825
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   2.188
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -3.464
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The logarithm of aqueous solubility value.
Rotatable Bonds:   11.0 Rigid Bonds:   23.0
TPSA:   165.76
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Topological Polar Surface Area.
H-Bond Acceptor:   12.0
H-Bond Donor:   5.0 Rings:   4.0
Heavy Atoms:   12.0

MedChem Properties

QED Drug-Likeness Score:   0.261 GASA:   1.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.412 Fsp3:   0.5
MCE-18:   90.0
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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:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.47 Fluc inhibitor:   0.379
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.047
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.488
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.109 Promiscuous compounds:   0.094

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.007 MDCK Permeability:   -5.343
Pgp-inhibitor:   0.055 Pgp-substrate:   0.138
PAMPA:   0.451
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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):   0.027
20% Bioavailability (F20%):   0.197 30% Bioavailability (F30%):   0.801
50% Bioavailability (F50%):   0.951

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.405 MRP1:   0.555
Plasma Protein Binding (PPB):   71.854% Volume Distribution (VD):   -0.334
Fu: 27.489%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.999
OATP1B3 inhibitor:   1.0 BCRP inhibitor:   0.746
BSEP inhibitor:   0.837

ADMET: Metabolism

CYP1A2-inhibitor:   0.423 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.851 CYP2C19-substrate:   0.014
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.0
CYP2D6-inhibitor:   0.0 CYP2D6-substrate:   0.218
CYP3A4-inhibitor:   0.9 CYP3A4-substrate:   0.784
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.973
HLM stability:   0.035
?
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):  2.866 Half-life (T1/2):  1.97

ADMET: Toxicity

hERG Blockers:  0.062 hERG Blockers (10um):  0.124
Human Hepatotoxicity (H-HT):  0.845 Drug-induced Liver Injury (DILI):  0.87
AMES Toxicity:  0.848 Rat Oral Acute Toxicity:  0.06
Maximum Recommended Daily Dose:  0.054 Skin Sensitization:  0.995
Carcinogencity:  0.367 Eye Corrosion:  0.0
Eye Irritation:  0.02 Respiratory Toxicity:  0.027
Drug-induced Neurotoxicity:  0.116 Ototoxicity:  0.971
Hematotoxicity:  0.638 Drug-induced Nephrotoxicity:  0.767
Genotoxicity:  0.306 RPMI-8226 Immunitoxicity:  0.218
A549 Cytotoxicity:  0.589 Hek293 Cytotoxicity:  0.381
BCF:   1.029
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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:   3.476
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   5.506
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   4.328
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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
NPO13757 Coptis japonica Species Ranunculaceae Eukaryota rhizomes n.a. n.a. PMID[11000020]
NPO13757 Coptis japonica Species Ranunculaceae Eukaryota n.a. rhizome n.a. PMID[21401114]
NPO13757 Coptis japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13757 Coptis japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13757 Coptis japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13757 Coptis japonica Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13757 Coptis japonica Species Ranunculaceae 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
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 15.4 % PMID[11000020]
NPT113 Cell line RAW264.7 Mus musculus Inhibition = 34.7 % PMID[11000020]
NPT2157 Cell line SUP-T1 Homo sapiens Inhibition = 32.1 % PMID[11000020]
NPT113 Cell line RAW264.7 Mus musculus Activity = 8.5 % PMID[11000020]
NPT20529 Non-molecular NON-PROTEIN TARGET n.a. Inhibition = 24.8 % PMID[11000020]
NPT2 Others Unspecified n.a. Inhibition = -5.4 % PMID[11000020]

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 NPC270751 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
0.9014 High Similarity NPC479448
0.7922 Intermediate Similarity NPC269559
0.7895 Intermediate Similarity NPC302610
0.7262 Intermediate Similarity NPC173726
0.6923 Remote Similarity NPC478701
0.6296 Remote Similarity NPC43508
0.625 Remote Similarity NPC470236
0.6022 Remote Similarity NPC241600
0.5957 Remote Similarity NPC228357
0.5802 Remote Similarity NPC199539
0.5568 Remote Similarity NPC224674
0.5568 Remote Similarity NPC64475
0.5479 Remote Similarity NPC132895
0.5395 Remote Similarity NPC307110
0.5342 Remote Similarity NPC162093
0.5143 Remote Similarity NPC306255
0.5067 Remote Similarity NPC87725
0.5067 Remote Similarity NPC263261
0.5057 Remote Similarity NPC217635

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC270751 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