Structure

Physi-Chem Properties

Molecular Weight:  358.07
Volume:  334.889
LogP:  3.197
LogD:  2.51
LogS:  -4.232
# Rotatable Bonds:  3
TPSA:  107.59
# H-Bond Aceptor:  8
# H-Bond Donor:  2
# Rings:  4
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.736
Synthetic Accessibility Score:  2.647
Fsp3:  0.167
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.805
MDCK Permeability:  2.4310647859238088e-05
Pgp-inhibitor:  0.996
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.007
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.008

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.003
Plasma Protein Binding (PPB):  87.43189239501953%
Volume Distribution (VD):  0.773
Pgp-substrate:  15.093692779541016%

ADMET: Metabolism

CYP1A2-inhibitor:  0.907
CYP1A2-substrate:  0.847
CYP2C19-inhibitor:  0.764
CYP2C19-substrate:  0.118
CYP2C9-inhibitor:  0.837
CYP2C9-substrate:  0.812
CYP2D6-inhibitor:  0.482
CYP2D6-substrate:  0.723
CYP3A4-inhibitor:  0.628
CYP3A4-substrate:  0.158

ADMET: Excretion

Clearance (CL):  5.488
Half-life (T1/2):  0.462

ADMET: Toxicity

hERG Blockers:  0.162
Human Hepatotoxicity (H-HT):  0.183
Drug-inuced Liver Injury (DILI):  0.958
AMES Toxicity:  0.47
Rat Oral Acute Toxicity:  0.192
Maximum Recommended Daily Dose:  0.053
Skin Sensitization:  0.588
Carcinogencity:  0.854
Eye Corrosion:  0.003
Eye Irritation:  0.266
Respiratory Toxicity:  0.211

Download Data

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

  Natural Product: NPC75743

Natural Product ID:  NPC75743
Common Name*:   QFVKOJSHXTWDPB-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  QFVKOJSHXTWDPB-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C18H14O8/c1-22-17-14(20)13-9(19)6-11(26-16(13)18(23-2)15(17)21)8-3-4-10-12(5-8)25-7-24-10/h3-6,20-21H,7H2,1-2H3
SMILES:  COc1c(c2c(=O)cc(c3ccc4c(c3)OCO4)oc2c(c1O)OC)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   44258651
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0002585] O-methylated flavonoids
          • [CHEMONTID:0002593] 8-O-methylated flavonoids

*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
NPO9585 Oenothera biennis Species Onagraceae Eukaryota Seeds Yichun, Heilongjiang Province, China 2018-Sep PMID[31292343]
NPO9585 Oenothera biennis Species Onagraceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO9585 Oenothera biennis Species Onagraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO9859 Argyrolobium uniflorum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26168 Isatis quadrialata Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9585 Oenothera biennis Species Onagraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5309 Eucalyptus jensenii Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3526 Moronobea pulchra Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2007 Hygrophorus persoonii Species Hygrophoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25029 Trifolium incarnatum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1670 Salvia beckeri Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1285 Helenium linifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7411 Pandanus odoratissimus Species Pandanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7022 0tholaena neglecta Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8784 Podocytisus caramanicus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13622 Lespedeza thunbergii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8929 Adenium boehmianum Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO141 Scutellaria alpina Species Lamiaceae 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 NPC75743 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 NPC75743 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