Structure

Physi-Chem Properties

Molecular Weight:  626.15
Volume:  561.108
LogP:  -0.339
LogD:  -0.272
LogS:  -2.729
# Rotatable Bonds:  8
TPSA:  278.66
# H-Bond Aceptor:  17
# H-Bond Donor:  10
# Rings:  5
# Heavy Atoms:  17

MedChem Properties

QED Drug-Likeness Score:  0.12
Synthetic Accessibility Score:  4.884
Fsp3:  0.444
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  2
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.526
MDCK Permeability:  9.277257959183771e-06
Pgp-inhibitor:  0.028
Pgp-substrate:  0.99
Human Intestinal Absorption (HIA):  0.951
20% Bioavailability (F20%):  0.82
30% Bioavailability (F30%):  0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.052
Plasma Protein Binding (PPB):  83.02714538574219%
Volume Distribution (VD):  0.665
Pgp-substrate:  21.062313079833984%

ADMET: Metabolism

CYP1A2-inhibitor:  0.036
CYP1A2-substrate:  0.067
CYP2C19-inhibitor:  0.007
CYP2C19-substrate:  0.048
CYP2C9-inhibitor:  0.006
CYP2C9-substrate:  0.058
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.133
CYP3A4-inhibitor:  0.044
CYP3A4-substrate:  0.012

ADMET: Excretion

Clearance (CL):  1.88
Half-life (T1/2):  0.851

ADMET: Toxicity

hERG Blockers:  0.414
Human Hepatotoxicity (H-HT):  0.236
Drug-inuced Liver Injury (DILI):  0.985
AMES Toxicity:  0.801
Rat Oral Acute Toxicity:  0.012
Maximum Recommended Daily Dose:  0.001
Skin Sensitization:  0.659
Carcinogencity:  0.059
Eye Corrosion:  0.003
Eye Irritation:  0.252
Respiratory Toxicity:  0.014

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC480471

Natural Product ID:  NPC480471
Common Name*:   AZGULWNCWHTTRE-PEVVPEAFSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  AZGULWNCWHTTRE-PEVVPEAFSA-N
Standard InCHI:  InChI=1S/C27H30O17/c1-39-21-12(32)5-13-15(17(21)34)18(35)22(20(41-13)9-2-3-10(30)11(31)4-9)43-25-23(19(36)16(33)14(6-28)42-25)44-26-24(37)27(38,7-29)8-40-26/h2-5,14,16,19,23-26,28-34,36-38H,6-8H2,1H3/t14-,16-,19+,23-,24+,25-,26+,27-/m1/s1
SMILES:  COc1c(cc2c(c1O)c(=O)c(c(c1ccc(c(c1)O)O)o2)O[C@@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O[C@H]1[C@@H]([C@@](CO)(CO1)O)O)O
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:0003531] Flavonoid-3-O-glycosides

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO40039 Atriplex tatarica Species Chenopodiaceae Eukaryota n.a. n.a. n.a. PMID[31181926]

☑ 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 NP ID 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

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT3888 Organism Micrococcus flavus Micrococcus flavus MIC = 399400.0 nM PMID[31181926]
NPT3888 Organism Micrococcus flavus Micrococcus flavus MBC = 639.0 uM PMID[31181926]
NPT564 Organism Listeria monocytogenes Listeria monocytogenes MIC = 639000.0 nM PMID[31181926]
NPT564 Organism Listeria monocytogenes Listeria monocytogenes MBC = 1198.1 uM PMID[31181926]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MIC = 399400.0 nM PMID[31181926]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa MBC = 639.0 uM PMID[31181926]
NPT19 Organism Escherichia coli Escherichia coli MIC = 399400.0 nM PMID[31181926]
NPT19 Organism Escherichia coli Escherichia coli MBC = 639.0 uM PMID[31181926]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa Inhibition = 58.1 % PMID[31181926]
NPT18 Organism Pseudomonas aeruginosa Pseudomonas aeruginosa Inhibition = 12.2 % PMID[31181926]

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC480471 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC480471 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage

  Bioactivity similarity: Similar Natural Products in NPASS

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