Structure

Physi-Chem Properties

Molecular Weight:  328.09
Volume:  314.025
LogP:  3.273
LogD:  3.285
LogS:  -5.338
# Rotatable Bonds:  2
TPSA:  55.38
# H-Bond Aceptor:  6
# H-Bond Donor:  0
# Rings:  5
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.845
Synthetic Accessibility Score:  3.624
Fsp3:  0.333
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.888
MDCK Permeability:  6.784445577068254e-05
Pgp-inhibitor:  0.695
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.002
20% Bioavailability (F20%):  0.001
30% Bioavailability (F30%):  0.01

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.273
Plasma Protein Binding (PPB):  94.37932586669922%
Volume Distribution (VD):  0.758
Pgp-substrate:  3.5603206157684326%

ADMET: Metabolism

CYP1A2-inhibitor:  0.61
CYP1A2-substrate:  0.908
CYP2C19-inhibitor:  0.96
CYP2C19-substrate:  0.859
CYP2C9-inhibitor:  0.785
CYP2C9-substrate:  0.842
CYP2D6-inhibitor:  0.949
CYP2D6-substrate:  0.91
CYP3A4-inhibitor:  0.96
CYP3A4-substrate:  0.371

ADMET: Excretion

Clearance (CL):  14.037
Half-life (T1/2):  0.147

ADMET: Toxicity

hERG Blockers:  0.077
Human Hepatotoxicity (H-HT):  0.338
Drug-inuced Liver Injury (DILI):  0.908
AMES Toxicity:  0.94
Rat Oral Acute Toxicity:  0.072
Maximum Recommended Daily Dose:  0.555
Skin Sensitization:  0.214
Carcinogencity:  0.823
Eye Corrosion:  0.005
Eye Irritation:  0.398
Respiratory Toxicity:  0.614

Download Data

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

  Natural Product: NPC143121

Natural Product ID:  NPC143121
Common Name*:   DBTYNEYODANUIL-BZSNNMDCSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  DBTYNEYODANUIL-BZSNNMDCSA-N
Standard InCHI:  InChI=1S/C18H16O6/c1-19-9-3-4-10-12(5-9)24-18(20-2)16-11-6-14-15(22-8-21-14)7-13(11)23-17(10)16/h3-7,16-18H,8H2,1-2H3/t16-,17-,18-/m0/s1
SMILES:  COc1ccc2c(c1)O[C@@H]([C@H]1c3cc4c(cc3O[C@@H]21)OCO4)OC
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:0002506] Isoflavonoids
        • [CHEMONTID:0002617] Furanoisoflavonoids
          • [CHEMONTID:0001608] Pterocarpans

*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
NPO22676 Polygonum salicifolium Species Polygonaceae Eukaryota n.a. aerial part n.a. PMID[10479312]
NPO23466 Buccinum striatissimum Species Buccinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29044 Gymnopus peronatus Species Omphalotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22740 Phyllanthus sellowianus Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10704 Canthium subcordatum Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22981 Sloanea rhodantha Species Elaeocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22858 Merendera raddeana Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22676 Polygonum salicifolium Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8618 Hypotrachyna cirrhata Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28258 Zingiber amaricans Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22973 Graphis scripta Species Graphidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21733 Lithocarpus hancei Species Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21984 Pinus muricata Species Pinaceae 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 NPC143121 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 NPC143121 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