Structure

Physi-Chem Properties

Molecular Weight:  464.1
Volume:  421.937
LogP:  0.847
LogD:  -0.142
LogS:  -3.302
# Rotatable Bonds:  3
TPSA:  210.51
# H-Bond Aceptor:  12
# H-Bond Donor:  8
# Rings:  4
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.193
Synthetic Accessibility Score:  4.139
Fsp3:  0.286
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.259
MDCK Permeability:  8.017701475182548e-06
Pgp-inhibitor:  0.578
Pgp-substrate:  0.893
Human Intestinal Absorption (HIA):  0.335
20% Bioavailability (F20%):  0.009
30% Bioavailability (F30%):  0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.008
Plasma Protein Binding (PPB):  93.63001251220703%
Volume Distribution (VD):  0.858
Pgp-substrate:  15.000658988952637%

ADMET: Metabolism

CYP1A2-inhibitor:  0.124
CYP1A2-substrate:  0.055
CYP2C19-inhibitor:  0.015
CYP2C19-substrate:  0.051
CYP2C9-inhibitor:  0.139
CYP2C9-substrate:  0.166
CYP2D6-inhibitor:  0.051
CYP2D6-substrate:  0.129
CYP3A4-inhibitor:  0.026
CYP3A4-substrate:  0.006

ADMET: Excretion

Clearance (CL):  2.243
Half-life (T1/2):  0.919

ADMET: Toxicity

hERG Blockers:  0.045
Human Hepatotoxicity (H-HT):  0.193
Drug-inuced Liver Injury (DILI):  0.991
AMES Toxicity:  0.826
Rat Oral Acute Toxicity:  0.078
Maximum Recommended Daily Dose:  0.011
Skin Sensitization:  0.935
Carcinogencity:  0.054
Eye Corrosion:  0.003
Eye Irritation:  0.558
Respiratory Toxicity:  0.028

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

  Natural Product: NPC101426

Natural Product ID:  NPC101426
Common Name*:   XSSVMGXVGVASHY-AMWZKJLXSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  XSSVMGXVGVASHY-AMWZKJLXSA-N
Standard InCHI:  InChI=1S/C21H20O12/c1-6-10(23)13(26)17(30)21(31-6)33-20-12(25)9-11(24)14(27)15(28)16(29)19(9)32-18(20)7-2-4-8(22)5-3-7/h2-6,10,13,17,21-24,26-30H,1H3/t6-,10-,13+,17+,21-/m0/s1
SMILES:  C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)Oc1c(=O)c2c(c(c(c(c2oc1c1ccc(cc1)O)O)O)O)O)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10961589
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003531] Flavonoid-3-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
NPO16098 Boronia pinnata Species Rutaceae Eukaryota n.a. n.a. n.a. PMID[11076549]
NPO22142 Hippocratea excelsa Species n.a. n.a. root bark n.a. n.a. PMID[17385912]
NPO22142 Hippocratea excelsa Species n.a. n.a. n.a. root n.a. PMID[17385912]
NPO6364 Pongamiopsis pervilleana Species Fabaceae Eukaryota n.a. Madagascar Dry Forest n.a. PMID[20804165]
NPO22142 Hippocratea excelsa Species n.a. n.a. n.a. n.a. n.a. PMID[2292687]
NPO7890 Cleistanthus indochinensis Species Phyllanthaceae Eukaryota fruits n.a. n.a. PMID[22938151]
NPO15319 Glochidion sphaerogynum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16098 Boronia pinnata Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7890 Cleistanthus indochinensis Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1118 Elymus repens Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15005 Sargassum muticum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6364 Pongamiopsis pervilleana Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22142 Hippocratea excelsa Species n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO15319 Glochidion sphaerogynum Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21904 Tarenaya spinosa Species Cleomaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17282 Pinguicula vulgaris Species Lentibulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12835 Cyrtomium falcatum Species Dryopteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5069 Ekebergia senegalensis Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12101 Ajuga genevensis Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8679 Streptomyces sparsogenes Species Streptomycetaceae Bacteria 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 NPC101426 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 NPC101426 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