Structure

Physi-Chem Properties

Molecular Weight:  432.11
Volume:  404.357
LogP:  1.278
LogD:  0.246
LogS:  -3.914
# Rotatable Bonds:  4
TPSA:  177.14
# H-Bond Aceptor:  10
# H-Bond Donor:  7
# Rings:  4
# Heavy Atoms:  10

MedChem Properties

QED Drug-Likeness Score:  0.17
Synthetic Accessibility Score:  4.08
Fsp3:  0.286
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.378
MDCK Permeability:  5.614091605821159e-06
Pgp-inhibitor:  0.003
Pgp-substrate:  0.016
Human Intestinal Absorption (HIA):  0.96
20% Bioavailability (F20%):  0.678
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.022
Plasma Protein Binding (PPB):  91.71736907958984%
Volume Distribution (VD):  0.577
Pgp-substrate:  11.236766815185547%

ADMET: Metabolism

CYP1A2-inhibitor:  0.309
CYP1A2-substrate:  0.053
CYP2C19-inhibitor:  0.017
CYP2C19-substrate:  0.058
CYP2C9-inhibitor:  0.01
CYP2C9-substrate:  0.125
CYP2D6-inhibitor:  0.058
CYP2D6-substrate:  0.14
CYP3A4-inhibitor:  0.041
CYP3A4-substrate:  0.008

ADMET: Excretion

Clearance (CL):  3.33
Half-life (T1/2):  0.803

ADMET: Toxicity

hERG Blockers:  0.039
Human Hepatotoxicity (H-HT):  0.028
Drug-inuced Liver Injury (DILI):  0.466
AMES Toxicity:  0.741
Rat Oral Acute Toxicity:  0.006
Maximum Recommended Daily Dose:  0.011
Skin Sensitization:  0.914
Carcinogencity:  0.149
Eye Corrosion:  0.004
Eye Irritation:  0.674
Respiratory Toxicity:  0.246

Download Data

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

  Natural Product: NPC241602

Natural Product ID:  NPC241602
Common Name*:   KIZBWUUJNJEYCM-POLDBNSMSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KIZBWUUJNJEYCM-POLDBNSMSA-N
Standard InCHI:  InChI=1S/C21H20O10/c22-6-8-4-10-14(11(24)5-8)18(27)15-9(16(10)25)2-1-3-12(15)30-21-20(29)19(28)17(26)13(7-23)31-21/h1-5,13,17,19-24,26,28-29H,6-7H2/t13-,17+,19-,20+,21-/m0/s1
SMILES:  c1cc2c(c(c1)O[C@@H]1[C@@H]([C@H]([C@@H]([C@H](CO)O1)O)O)O)C(=O)c1c(cc(cc1O)CO)C2=O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000018] Anthracenes
        • [CHEMONTID:0000151] Anthraquinones

*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
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. n.a. n.a. PMID[11087602]
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. n.a. n.a. PMID[12932124]
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. stem n.a. PMID[12932124]
NPO27164 Aspergillus alliaceus Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[29517220]
NPO27164 Aspergillus alliaceus Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[3417561]
NPO27140 Amanita phalloides Species Amanitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3980 Frangula purshiana Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19050 Garcinia polyantha Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26972 Baccharis potosina Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27873 Ravenia spectabilis Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17822 Fridericia triplinervia Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27564 Stevia berlandieri Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10239 Magnolia figo Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27140 Amanita phalloides Species Amanitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24629 Achromobacter denitrificans Species Alcaligenaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO3980 Frangula purshiana Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27790 Delia arenicola Species Anthomyiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19050 Garcinia polyantha Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4132 Cranfillia fluviatilis Species Blechnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27454 Turbo cornutus Species Turbinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27239 Maclura tinctoria Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27164 Aspergillus alliaceus Species Aspergillaceae 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 NPC241602 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 NPC241602 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