Natural Product: NPC490336

Natural Product IDNPC490336
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
Luteolin 7-O-diglucuronide
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0002934] Flavonoid O-glucuronides
              • [CHEMONTID:0003534] Flavonoid-7-O-glucuronides

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 SPWLSDULYCMRFB-VMEISIRMSA-N
Standard InCHI InChI=1S/C27H26O18/c28-9-2-1-7(3-10(9)29)13-6-12(31)15-11(30)4-8(5-14(15)42-13)41-26-20(36)17(33)19(35)23(44-26)25(40)45-27-21(37)16(32)18(34)22(43-27)24(38)39/h1-6,16-23,26-30,32-37H,(H,38,39)/t16-,17-,18-,19-,20+,21+,22-,23-,26+,27-/m0/s1
SMILES O[C@@H]1[C@@H](O)[C@H](OC(=O)[C@H]2O[C@@H](OC3=CC(O)=C4C(=O)C=C(OC4=C3)C3=CC=C(O)C(O)=C3)[C@H](O)[C@@H](O)[C@@H]2O)O[C@@H]([C@H]1O)C(O)=O

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   638.11 Volume:   564.625
?
Van der Waals volume.
Dense:   1.13 LogP:   -0.65
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   0.483
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -2.807
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The logarithm of aqueous solubility value.
Rotatable Bonds:   7.0 Rigid Bonds:   32.0
TPSA:   303.57
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Topological Polar Surface Area.
H-Bond Acceptor:   18.0
H-Bond Donor:   10.0 Rings:   5.0
Heavy Atoms:   18.0

MedChem Properties

QED Drug-Likeness Score:   0.096 GASA:   0.0
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GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   4.881 Fsp3:   0.37
MCE-18:   127.459
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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:   1
Colloidal aggregators:   0.507 Fluc inhibitor:   0.359
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.979
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.764
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.383 Promiscuous compounds:   0.505

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -6.785 MDCK Permeability:   -5.073
Pgp-inhibitor:   0.0 Pgp-substrate:   0.616
PAMPA:   1.0
?
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):   0.955
20% Bioavailability (F20%):   0.972 30% Bioavailability (F30%):   0.999
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.693
Plasma Protein Binding (PPB):   80.532% Volume Distribution (VD):   -0.024
Fu: 16.471%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   0.478
OATP1B3 inhibitor:   0.95 BCRP inhibitor:   0.016
BSEP inhibitor:   0.0

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   0.0
CYP2C19-inhibitor:   0.0 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:   0.966
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   0.874
HLM stability:   0.006
?
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):  0.791 Half-life (T1/2):  5.118

ADMET: Toxicity

hERG Blockers:  0.003 hERG Blockers (10um):  0.035
Human Hepatotoxicity (H-HT):  0.275 Drug-induced Liver Injury (DILI):  0.993
AMES Toxicity:  0.819 Rat Oral Acute Toxicity:  0.011
Maximum Recommended Daily Dose:  0.019 Skin Sensitization:  0.998
Carcinogencity:  0.006 Eye Corrosion:  0.0
Eye Irritation:  0.277 Respiratory Toxicity:  0.002
Drug-induced Neurotoxicity:  0.0 Ototoxicity:  0.894
Hematotoxicity:  0.03 Drug-induced Nephrotoxicity:  0.645
Genotoxicity:  0.861 RPMI-8226 Immunitoxicity:  0.133
A549 Cytotoxicity:  0.522 Hek293 Cytotoxicity:  0.114
BCF:   0.325
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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:   2.957
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   4.487
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   3.696
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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
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota Flower n.a. n.a. Database[FooDB]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO20640 Aloysia triphylla Species Verbenaceae Eukaryota n.a. n.a. Database[FooDB]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. Database[FooDB]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. Database[Phenol-Explorer]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2838 Verbena officinalis Species Verbenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20640 Aloysia triphylla Species Verbenaceae 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
NPO20640 Aloysia triphylla Other n.a. 10.60000038 n.a. n.a. mg/100g Database [PHENOL EXPLORER]
NPO2838 Verbena officinalis Raw n.a. 495 n.a. n.a. mg/100g Database [PHENOL EXPLORER]
NPO2838 Verbena officinalis n.a. n.a. 495 n.a. n.a. mg/100g of FW Database [Phenol-Explorer]

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

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 NPC490336 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
0.7674 Intermediate Similarity NPC20505
0.7222 Intermediate Similarity NPC190003
0.7143 Intermediate Similarity NPC253685
0.6907 Remote Similarity NPC229409
0.6889 Remote Similarity NPC282169
0.663 Remote Similarity NPC608742
0.6629 Remote Similarity NPC19709
0.6593 Remote Similarity NPC27942
0.6556 Remote Similarity NPC189142
0.6556 Remote Similarity NPC77660
0.6327 Remote Similarity NPC210073
0.6304 Remote Similarity NPC181712
0.62 Remote Similarity NPC64051
0.598 Remote Similarity NPC65711
0.5882 Remote Similarity NPC46202
0.5859 Remote Similarity NPC8856
0.5806 Remote Similarity NPC473043
0.5806 Remote Similarity NPC331652
0.5745 Remote Similarity NPC39360
0.5745 Remote Similarity NPC29763
0.5745 Remote Similarity NPC210003
0.57 Remote Similarity NPC606546
0.567 Remote Similarity NPC135277
0.5631 Remote Similarity NPC115674
0.5612 Remote Similarity NPC22832
0.5612 Remote Similarity NPC601144
0.5588 Remote Similarity NPC44931
0.5521 Remote Similarity NPC95090
0.5521 Remote Similarity NPC27408
0.5472 Remote Similarity NPC209296
0.5455 Remote Similarity NPC243930
0.5455 Remote Similarity NPC43211
0.5446 Remote Similarity NPC600989
0.5421 Remote Similarity NPC270675
0.5421 Remote Similarity NPC195685
0.5417 Remote Similarity NPC261866
0.5417 Remote Similarity NPC238376
0.5413 Remote Similarity NPC484301
0.54 Remote Similarity NPC311830
0.5385 Remote Similarity NPC22062
0.5385 Remote Similarity NPC473634
0.5385 Remote Similarity NPC138811
0.5361 Remote Similarity NPC277205
0.5361 Remote Similarity NPC37919
0.5288 Remote Similarity NPC67105
0.5273 Remote Similarity NPC472994
0.5243 Remote Similarity NPC254540
0.5204 Remote Similarity NPC168822
0.5204 Remote Similarity NPC136042
0.52 Remote Similarity NPC237435
0.5182 Remote Similarity NPC101636
0.5152 Remote Similarity NPC58716
0.5152 Remote Similarity NPC84362
0.5152 Remote Similarity NPC45638
0.5146 Remote Similarity NPC4390
0.51 Remote Similarity NPC201292
0.5098 Remote Similarity NPC607707
0.5089 Remote Similarity NPC14187
0.5088 Remote Similarity NPC472993
0.5057 Remote Similarity NPC108406
0.505 Remote Similarity NPC210094
0.5046 Remote Similarity NPC473623
0.5045 Remote Similarity NPC298171

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC490336 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
0.5472 Remote Similarity NPD7054 Phase 4
0.52 Remote Similarity NPD4338 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