Structure

Physi-Chem Properties

Molecular Weight:  328.06
Volume:  302.882
LogP:  2.407
LogD:  1.811
LogS:  -3.728
# Rotatable Bonds:  0
TPSA:  105.45
# H-Bond Aceptor:  7
# H-Bond Donor:  3
# Rings:  5
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.667
Synthetic Accessibility Score:  4.221
Fsp3:  0.235
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.417
MDCK Permeability:  9.081489224627148e-06
Pgp-inhibitor:  0.006
Pgp-substrate:  0.422
Human Intestinal Absorption (HIA):  0.007
20% Bioavailability (F20%):  0.284
30% Bioavailability (F30%):  0.573

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.04
Plasma Protein Binding (PPB):  96.26143646240234%
Volume Distribution (VD):  0.744
Pgp-substrate:  2.6625468730926514%

ADMET: Metabolism

CYP1A2-inhibitor:  0.872
CYP1A2-substrate:  0.344
CYP2C19-inhibitor:  0.773
CYP2C19-substrate:  0.123
CYP2C9-inhibitor:  0.617
CYP2C9-substrate:  0.812
CYP2D6-inhibitor:  0.938
CYP2D6-substrate:  0.449
CYP3A4-inhibitor:  0.882
CYP3A4-substrate:  0.162

ADMET: Excretion

Clearance (CL):  9.634
Half-life (T1/2):  0.589

ADMET: Toxicity

hERG Blockers:  0.033
Human Hepatotoxicity (H-HT):  0.258
Drug-inuced Liver Injury (DILI):  0.631
AMES Toxicity:  0.932
Rat Oral Acute Toxicity:  0.684
Maximum Recommended Daily Dose:  0.936
Skin Sensitization:  0.704
Carcinogencity:  0.915
Eye Corrosion:  0.003
Eye Irritation:  0.425
Respiratory Toxicity:  0.824

Download Data

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

  Natural Product: NPC298366

Natural Product ID:  NPC298366
Common Name*:   KEAXKVGKQLXEGB-SJORKVTESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KEAXKVGKQLXEGB-SJORKVTESA-N
Standard InCHI:  InChI=1S/C17H12O7/c18-8-2-10(19)14-13(3-8)24-16(21)17(15(14)20)5-7-1-11-12(4-9(7)17)23-6-22-11/h1-4,16,18-19,21H,5-6H2/t16-,17+/m1/s1
SMILES:  c1c2C[C@]3(c2cc2c1OCO2)C(=O)c1c(cc(cc1O[C@H]3O)O)O
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:0001612] Isoflavans
          • [CHEMONTID:0001828] Isoflavanols

*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
NPO9383 Scilla scilloides Species Hyacinthaceae Eukaryota n.a. bulb n.a. PMID[12237544]
NPO28718 Penicillium terrestre Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[18163588]
NPO29396 Bidens bipinnata Species Asteraceae Eukaryota n.a. whole plant n.a. PMID[25282892]
NPO29250 Coprinus comatus Species Agaricaceae Eukaryota n.a. n.a. n.a. PMID[26338495]
NPO29125 Ulex europaeus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9383 Scilla scilloides Species Hyacinthaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29396 Bidens bipinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9383 Scilla scilloides Species Hyacinthaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29396 Bidens bipinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29125 Ulex europaeus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29396 Bidens bipinnata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29250 Coprinus comatus Species Agaricaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29481 Streptomyces reticuli Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO29499 Chionodoxa luciliae n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO29125 Ulex europaeus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11162 Aplidium glabrum Species Polyclinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18245 Coprinellus micaceus Species Psathyrellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9383 Scilla scilloides Species Hyacinthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29213 Bulbine narcissifolia Species Asphodelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29278 Sicyos angulatus Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28718 Penicillium terrestre Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29534 Sarcomelicope leiocarpa Species Rutaceae 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 NPC298366 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 NPC298366 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