Structure

Physi-Chem Properties

Molecular Weight:  490.11
Volume:  453.893
LogP:  1.867
LogD:  1.09
LogS:  -4.592
# Rotatable Bonds:  5
TPSA:  196.35
# H-Bond Aceptor:  12
# H-Bond Donor:  6
# Rings:  4
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.225
Synthetic Accessibility Score:  4.105
Fsp3:  0.304
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.105
MDCK Permeability:  1.8731539967120625e-05
Pgp-inhibitor:  0.08
Pgp-substrate:  0.955
Human Intestinal Absorption (HIA):  0.333
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.976

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.016
Plasma Protein Binding (PPB):  89.48037719726562%
Volume Distribution (VD):  0.911
Pgp-substrate:  12.45925521850586%

ADMET: Metabolism

CYP1A2-inhibitor:  0.444
CYP1A2-substrate:  0.073
CYP2C19-inhibitor:  0.03
CYP2C19-substrate:  0.048
CYP2C9-inhibitor:  0.273
CYP2C9-substrate:  0.458
CYP2D6-inhibitor:  0.539
CYP2D6-substrate:  0.156
CYP3A4-inhibitor:  0.308
CYP3A4-substrate:  0.025

ADMET: Excretion

Clearance (CL):  3.603
Half-life (T1/2):  0.917

ADMET: Toxicity

hERG Blockers:  0.016
Human Hepatotoxicity (H-HT):  0.467
Drug-inuced Liver Injury (DILI):  0.983
AMES Toxicity:  0.737
Rat Oral Acute Toxicity:  0.052
Maximum Recommended Daily Dose:  0.065
Skin Sensitization:  0.719
Carcinogencity:  0.056
Eye Corrosion:  0.003
Eye Irritation:  0.627
Respiratory Toxicity:  0.068

Download Data

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

  Natural Product: NPC295840

Natural Product ID:  NPC295840
Common Name*:   QYSPPPJDISHVRH-ZKLNTULWSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  QYSPPPJDISHVRH-ZKLNTULWSA-N
Standard InCHI:  InChI=1S/C23H22O12/c1-8-17(29)19(31)22(33-9(2)24)23(32-8)35-21-18(30)16-14(28)6-11(25)7-15(16)34-20(21)10-3-4-12(26)13(27)5-10/h3-8,17,19,22-23,25-29,31H,1-2H3/t8-,17-,19+,22+,23-/m0/s1
SMILES:  C[C@H]1[C@@H]([C@H]([C@H]([C@@H](O1)Oc1c(=O)c2c(cc(cc2oc1c1ccc(c(c1)O)O)O)O)OC(=O)C)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   6324952
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
NPO3347 Vaccinium corymbosum Species Ericaceae Eukaryota Fruit n.a. n.a. DOI[10.1016/S0963-9969(99)00095-2]
NPO3347 Vaccinium corymbosum Species Ericaceae Eukaryota n.a. fruit n.a. PMID[21648406]
NPO3347 Vaccinium corymbosum Species Ericaceae Eukaryota Fruit Juice n.a. n.a. Database[FooDB]
NPO3347 Vaccinium corymbosum Species Ericaceae Eukaryota n.a. n.a. Database[FooDB]
NPO3347 Vaccinium corymbosum Species Ericaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO3347 Vaccinium corymbosum Species Ericaceae Eukaryota Fruits n.a. Database[Phenol-Explorer]
NPO21084 Nymphaea caerulea Species Nymphaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21084 Nymphaea caerulea Species Nymphaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3347 Vaccinium corymbosum Species Ericaceae 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
NPO3347 NPC295840 Raw n.a. 5.659999847 n.a. n.a. mg/100g Database [PHENOL EXPLORER]
NPO3347 NPC295840 n.a. Fruits 5.66 n.a. n.a. mg/100g of FW 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 NPC295840 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 NPC295840 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