Structure

Physi-Chem Properties

Molecular Weight:  636.17
Volume:  584.273
LogP:  0.926
LogD:  0.2
LogS:  -4.965
# Rotatable Bonds:  8
TPSA:  255.27
# H-Bond Aceptor:  16
# H-Bond Donor:  8
# Rings:  5
# Heavy Atoms:  16

MedChem Properties

QED Drug-Likeness Score:  0.142
Synthetic Accessibility Score:  4.735
Fsp3:  0.448
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.441
MDCK Permeability:  7.172395999077708e-05
Pgp-inhibitor:  0.003
Pgp-substrate:  0.999
Human Intestinal Absorption (HIA):  0.697
20% Bioavailability (F20%):  0.001
30% Bioavailability (F30%):  0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.064
Plasma Protein Binding (PPB):  80.24752044677734%
Volume Distribution (VD):  0.58
Pgp-substrate:  18.107696533203125%

ADMET: Metabolism

CYP1A2-inhibitor:  0.111
CYP1A2-substrate:  0.025
CYP2C19-inhibitor:  0.03
CYP2C19-substrate:  0.061
CYP2C9-inhibitor:  0.013
CYP2C9-substrate:  0.345
CYP2D6-inhibitor:  0.068
CYP2D6-substrate:  0.129
CYP3A4-inhibitor:  0.044
CYP3A4-substrate:  0.006

ADMET: Excretion

Clearance (CL):  1.259
Half-life (T1/2):  0.563

ADMET: Toxicity

hERG Blockers:  0.173
Human Hepatotoxicity (H-HT):  0.145
Drug-inuced Liver Injury (DILI):  0.98
AMES Toxicity:  0.805
Rat Oral Acute Toxicity:  0.023
Maximum Recommended Daily Dose:  0.005
Skin Sensitization:  0.358
Carcinogencity:  0.19
Eye Corrosion:  0.003
Eye Irritation:  0.049
Respiratory Toxicity:  0.015

Download Data

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

  Natural Product: NPC185702

Natural Product ID:  NPC185702
Common Name*:   Kaempferol 3-O-(6''-acetyl-galactoside) 7-O-rhamnoside
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  GMYLPJSOUAYAGD-UGFNMZIJSA-N
Standard InCHI:  InChI=1S/C29H32O16/c1-10-19(33)22(36)24(38)28(41-10)42-14-7-15(32)18-16(8-14)43-26(12-3-5-13(31)6-4-12)27(21(18)35)45-29-25(39)23(37)20(34)17(44-29)9-40-11(2)30/h3-8,10,17,19-20,22-25,28-29,31-34,36-39H,9H2,1-2H3/t10-,17+,19-,20-,22+,23-,24+,25+,28-,29-/m0/s1
SMILES:  C[C@@H]1O[C@@H](OC2=CC(O)=C3C(OC(C4=CC=C(O)C=C4)=C(O[C@@H]4O[C@H](COC(C)=O)[C@H](O)[C@H](O)[C@H]4O)C3=O)=C2)[C@H](O)[C@H](O)[C@H]1O
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:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003533] Flavonoid-7-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
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 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 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 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 NPC185702 Other (raw) Fruit 37.55 1.3 73.8 mg/100g Database [DUKE]
NPO23510 NPC185702 Raw n.a. 6 n.a. n.a. mg/100g Database [PHENOL EXPLORER]

☑ 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 NPC185702 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 NPC185702 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