Structure

Physi-Chem Properties

Molecular Weight:  304.1
Volume:  262.013
LogP:  -3.141
LogD:  -2.014
LogS:  -1.928
# Rotatable Bonds:  3
TPSA:  197.9
# H-Bond Aceptor:  11
# H-Bond Donor:  9
# Rings:  2
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.276
Synthetic Accessibility Score:  4.367
Fsp3:  0.6
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.424
MDCK Permeability:  0.00045144755858927965
Pgp-inhibitor:  0.0
Pgp-substrate:  0.945
Human Intestinal Absorption (HIA):  0.894
20% Bioavailability (F20%):  0.512
30% Bioavailability (F30%):  0.649

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.909
Plasma Protein Binding (PPB):  16.180809020996094%
Volume Distribution (VD):  0.355
Pgp-substrate:  74.8469009399414%

ADMET: Metabolism

CYP1A2-inhibitor:  0.008
CYP1A2-substrate:  0.076
CYP2C19-inhibitor:  0.021
CYP2C19-substrate:  0.033
CYP2C9-inhibitor:  0.001
CYP2C9-substrate:  0.003
CYP2D6-inhibitor:  0.0
CYP2D6-substrate:  0.031
CYP3A4-inhibitor:  0.003
CYP3A4-substrate:  0.024

ADMET: Excretion

Clearance (CL):  1.822
Half-life (T1/2):  0.799

ADMET: Toxicity

hERG Blockers:  0.035
Human Hepatotoxicity (H-HT):  0.975
Drug-inuced Liver Injury (DILI):  0.984
AMES Toxicity:  0.268
Rat Oral Acute Toxicity:  0.782
Maximum Recommended Daily Dose:  0.009
Skin Sensitization:  0.034
Carcinogencity:  0.816
Eye Corrosion:  0.003
Eye Irritation:  0.01
Respiratory Toxicity:  0.593

Download Data

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

  Natural Product: NPC490330

Natural Product ID:  NPC490330
Common Name*:   Vicine
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KGNGTSCIQCLKEH-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C10H16N4O7/c11-7-6(8(19)14-10(12)13-7)21-9-5(18)4(17)3(16)2(1-15)20-9/h2-5,9,15-18H,1H2,(H5,11,12,13,14,19)
SMILES:  NC1=NC(O)=C(OC2OC(CO)C(O)C(O)C2O)C(N)=N1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0002207] O-glycosyl compounds

*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
NPO23510 Vicia faba Species Fabaceae Eukaryota flowers n.a. n.a. PMID[16180811]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. branch n.a. PMID[22014228]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[22014228]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. leaf n.a. PMID[22014228]
NPO23510 Vicia faba Species Fabaceae Eukaryota Flower n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota Oil n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota Sprout Seedling n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23510 Vicia faba Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23510 Vicia faba Species Fabaceae 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
NPO23510 NPC490330 Other (raw) Fruit 500 500 500 mg/100g Database [DUKE]

☑ 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 NPC490330 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 NPC490330 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