Structure

Physi-Chem Properties

Molecular Weight:  392.22
Volume:  399.674
LogP:  1.917
LogD:  2.003
LogS:  -3.046
# Rotatable Bonds:  2
TPSA:  104.06
# H-Bond Aceptor:  6
# H-Bond Donor:  3
# Rings:  4
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.463
Synthetic Accessibility Score:  6.129
Fsp3:  0.818
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  2
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.491
MDCK Permeability:  3.728491719812155e-05
Pgp-inhibitor:  0.014
Pgp-substrate:  0.998
Human Intestinal Absorption (HIA):  0.011
20% Bioavailability (F20%):  0.019
30% Bioavailability (F30%):  0.689

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.277
Plasma Protein Binding (PPB):  33.063228607177734%
Volume Distribution (VD):  0.512
Pgp-substrate:  58.236778259277344%

ADMET: Metabolism

CYP1A2-inhibitor:  0.009
CYP1A2-substrate:  0.12
CYP2C19-inhibitor:  0.011
CYP2C19-substrate:  0.729
CYP2C9-inhibitor:  0.008
CYP2C9-substrate:  0.066
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.091
CYP3A4-inhibitor:  0.159
CYP3A4-substrate:  0.26

ADMET: Excretion

Clearance (CL):  4.302
Half-life (T1/2):  0.127

ADMET: Toxicity

hERG Blockers:  0.029
Human Hepatotoxicity (H-HT):  0.129
Drug-inuced Liver Injury (DILI):  0.053
AMES Toxicity:  0.09
Rat Oral Acute Toxicity:  0.833
Maximum Recommended Daily Dose:  0.898
Skin Sensitization:  0.75
Carcinogencity:  0.861
Eye Corrosion:  0.088
Eye Irritation:  0.021
Respiratory Toxicity:  0.989

Download Data

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

  Natural Product: NPC92047

Natural Product ID:  NPC92047
Common Name*:   VDUXCWJUZIOGJA-JPXBYFMYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  VDUXCWJUZIOGJA-JPXBYFMYSA-N
Standard InCHI:  InChI=1S/C12H18N2O12/c15-7(1-3-13(20)21)24-5-6-9(17)10(18)11(12(19)25-6)26-8(16)2-4-14(22)23/h6,9-12,17-19H,1-5H2/t6-,9-,10+,11-,12+/m1/s1
SMILES:  C(CN(=O)=O)C(=O)OC[C@@H]1[C@H]([C@@H]([C@H]([C@@H](O)O1)OC(=O)CCN(=O)=O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   441560
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0001540] Monosaccharides

*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
NPO9165 Asclepias curassavica Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[16252914]
NPO9165 Asclepias curassavica Species Apocynaceae Eukaryota n.a. n.a. n.a. PMID[19251412]
NPO17989 Astragalus falcatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO1 Astragalus flexuosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9165 Asclepias curassavica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20715 Astragalus cibarius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9165 Asclepias curassavica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20715 Astragalus cibarius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1 Astragalus flexuosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17989 Astragalus falcatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16116 Aniba canelilla Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20715 Astragalus cibarius Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13937 Leptodontidium elatius Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16769 Baccharis hutchisonii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6418 Passalora rosicola Species Mycosphaerellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1 Astragalus flexuosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17989 Astragalus falcatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23040 Methylomonas methanica Species Methylococcaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO19165 Comptonia peregrina Species Myricaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9165 Asclepias curassavica Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19510 Origanum floribundum Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14708 Macowania corymbosa Species Asteraceae 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 NPC92047 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 NPC92047 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