Structure

Physi-Chem Properties

Molecular Weight:  464.1
Volume:  421.937
LogP:  0.173
LogD:  -0.185
LogS:  -3.758
# Rotatable Bonds:  4
TPSA:  210.51
# H-Bond Aceptor:  12
# H-Bond Donor:  8
# Rings:  4
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.229
Synthetic Accessibility Score:  4.066
Fsp3:  0.286
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  2
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.246
MDCK Permeability:  8.989348316390533e-06
Pgp-inhibitor:  0.02
Pgp-substrate:  0.869
Human Intestinal Absorption (HIA):  0.767
20% Bioavailability (F20%):  0.145
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.011
Plasma Protein Binding (PPB):  90.331787109375%
Volume Distribution (VD):  0.734
Pgp-substrate:  14.586888313293457%

ADMET: Metabolism

CYP1A2-inhibitor:  0.172
CYP1A2-substrate:  0.051
CYP2C19-inhibitor:  0.02
CYP2C19-substrate:  0.049
CYP2C9-inhibitor:  0.028
CYP2C9-substrate:  0.16
CYP2D6-inhibitor:  0.044
CYP2D6-substrate:  0.161
CYP3A4-inhibitor:  0.046
CYP3A4-substrate:  0.011

ADMET: Excretion

Clearance (CL):  3.903
Half-life (T1/2):  0.896

ADMET: Toxicity

hERG Blockers:  0.303
Human Hepatotoxicity (H-HT):  0.119
Drug-inuced Liver Injury (DILI):  0.959
AMES Toxicity:  0.749
Rat Oral Acute Toxicity:  0.021
Maximum Recommended Daily Dose:  0.01
Skin Sensitization:  0.934
Carcinogencity:  0.049
Eye Corrosion:  0.003
Eye Irritation:  0.635
Respiratory Toxicity:  0.037

Download Data

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

  Natural Product: NPC133300

Natural Product ID:  NPC133300
Common Name*:   WJJFWGUVMIUWGG-QOUKUZOOSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  WJJFWGUVMIUWGG-QOUKUZOOSA-N
Standard InCHI:  InChI=1S/C21H20O12/c22-6-14-16(27)18(29)19(30)21(32-14)33-20-11(26)5-13-15(17(20)28)10(25)4-12(31-13)7-1-2-8(23)9(24)3-7/h1-5,14,16,18-19,21-24,26-30H,6H2/t14-,16-,18+,19-,21+/m1/s1
SMILES:  c1cc(c(cc1c1cc(=O)c2c(cc(c(c2O)O[C@H]2[C@@H]([C@H]([C@@H]([C@@H](CO)O2)O)O)O)O)o1)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   5459939
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid 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
NPO16297 Gentiana arisanensis Species Gentianaceae Eukaryota Whole Plant Yu Shieh, Chiayi Hsieh, Taiwan 1994-APR PMID[9287421]
NPO12948 Solanum dulcamara Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12948 Solanum dulcamara Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12948 Solanum dulcamara Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO15721 Derris reticulata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22024 Agathosma serpyllacea Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16918 Ballota lanata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18413 Eucalyptus ovata Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12948 Solanum dulcamara Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22965 Saussurea elegans Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23191 Plectranthus striatus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20125 Cleistanthus schlechteri Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16297 Gentiana arisanensis Species Gentianaceae 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 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

☑ 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 NPC133300 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 NPC133300 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