Structure

Physi-Chem Properties

Molecular Weight:  462.12
Volume:  430.443
LogP:  2.142
LogD:  1.199
LogS:  -4.038
# Rotatable Bonds:  4
TPSA:  179.28
# H-Bond Aceptor:  11
# H-Bond Donor:  6
# Rings:  4
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.323
Synthetic Accessibility Score:  3.962
Fsp3:  0.318
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  2
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.224
MDCK Permeability:  1.1432350220275111e-05
Pgp-inhibitor:  0.198
Pgp-substrate:  0.973
Human Intestinal Absorption (HIA):  0.167
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.961

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.013
Plasma Protein Binding (PPB):  90.33163452148438%
Volume Distribution (VD):  0.779
Pgp-substrate:  11.032784461975098%

ADMET: Metabolism

CYP1A2-inhibitor:  0.529
CYP1A2-substrate:  0.284
CYP2C19-inhibitor:  0.038
CYP2C19-substrate:  0.059
CYP2C9-inhibitor:  0.328
CYP2C9-substrate:  0.538
CYP2D6-inhibitor:  0.352
CYP2D6-substrate:  0.193
CYP3A4-inhibitor:  0.181
CYP3A4-substrate:  0.028

ADMET: Excretion

Clearance (CL):  4.452
Half-life (T1/2):  0.852

ADMET: Toxicity

hERG Blockers:  0.032
Human Hepatotoxicity (H-HT):  0.095
Drug-inuced Liver Injury (DILI):  0.979
AMES Toxicity:  0.792
Rat Oral Acute Toxicity:  0.034
Maximum Recommended Daily Dose:  0.026
Skin Sensitization:  0.409
Carcinogencity:  0.296
Eye Corrosion:  0.003
Eye Irritation:  0.444
Respiratory Toxicity:  0.079

Download Data

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

  Natural Product: NPC25637

Natural Product ID:  NPC25637
Common Name*:   XLQFMBLUUSGXQY-NPQVZWJISA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  XLQFMBLUUSGXQY-NPQVZWJISA-N
Standard InCHI:  InChI=1S/C22H22O11/c1-8-16(25)18(27)20(29)22(31-8)32-10-6-12(24)15-14(7-10)33-21(19(28)17(15)26)9-3-4-11(23)13(5-9)30-2/h3-8,16,18,20,22-25,27-29H,1-2H3/t8-,16-,18+,20-,22+/m0/s1
SMILES:  C[C@H]1[C@@H]([C@H]([C@@H]([C@H](O1)Oc1cc(c2c(c1)oc(c1ccc(c(c1)OC)O)c(c2=O)O)O)O)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: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
NPO28468 Aglaia duperreana Species Meliaceae Eukaryota n.a. root n.a. DOI[10.1021/np990242g]
NPO12203 Uvaria dulcis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27199 Croton macrostachys Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25238 Rheum coreanum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28284 Medicago arabica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27629 Rhododendron schlippenbachii Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27199 Croton macrostachys Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28536 Dictyostelium discoideum Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12203 Uvaria dulcis Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28468 Aglaia duperreana Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25238 Rheum coreanum Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26376 Camptorrhiza strumosa Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25523 Ageratina ixiocladon Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25985 Dryas octopetala Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29019 Aspergillus tamarii Species Aspergillaceae 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 NPC25637 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 NPC25637 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