Structure

Physi-Chem Properties

Molecular Weight:  504.17
Volume:  434.858
LogP:  -3.207
LogD:  -2.662
LogS:  -0.425
# Rotatable Bonds:  9
TPSA:  268.68
# H-Bond Aceptor:  16
# H-Bond Donor:  11
# Rings:  3
# Heavy Atoms:  16

MedChem Properties

QED Drug-Likeness Score:  0.139
Synthetic Accessibility Score:  5.21
Fsp3:  1.0
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.421
MDCK Permeability:  0.0002382093807682395
Pgp-inhibitor:  0.001
Pgp-substrate:  0.986
Human Intestinal Absorption (HIA):  0.983
20% Bioavailability (F20%):  0.994
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.261
Plasma Protein Binding (PPB):  14.1494140625%
Volume Distribution (VD):  0.293
Pgp-substrate:  54.20473098754883%

ADMET: Metabolism

CYP1A2-inhibitor:  0.002
CYP1A2-substrate:  0.052
CYP2C19-inhibitor:  0.003
CYP2C19-substrate:  0.052
CYP2C9-inhibitor:  0.0
CYP2C9-substrate:  0.012
CYP2D6-inhibitor:  0.0
CYP2D6-substrate:  0.064
CYP3A4-inhibitor:  0.003
CYP3A4-substrate:  0.002

ADMET: Excretion

Clearance (CL):  1.125
Half-life (T1/2):  0.829

ADMET: Toxicity

hERG Blockers:  0.482
Human Hepatotoxicity (H-HT):  0.092
Drug-inuced Liver Injury (DILI):  0.047
AMES Toxicity:  0.094
Rat Oral Acute Toxicity:  0.001
Maximum Recommended Daily Dose:  0.0
Skin Sensitization:  0.906
Carcinogencity:  0.013
Eye Corrosion:  0.003
Eye Irritation:  0.014
Respiratory Toxicity:  0.007

Download Data

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

  Natural Product: NPC246579

Natural Product ID:  NPC246579
Common Name*:   HQFMTRMPFIZQJF-ZTLPJMBZSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  HQFMTRMPFIZQJF-ZTLPJMBZSA-N
Standard InCHI:  InChI=1S/C18H32O16/c19-1-6-10(24)14(28)17(4-21,32-6)30-3-8-9(23)12(26)13(27)16(31-8)34-18(5-22)15(29)11(25)7(2-20)33-18/h6-16,19-29H,1-5H2/t6-,7+,8+,9+,10-,11+,12-,13+,14+,15-,16+,17-,18-/m0/s1
SMILES:  C([C@H]1[C@@H]([C@H]([C@@](CO)(OC[C@@H]2[C@H]([C@@H]([C@H]([C@H](O2)O[C@@]2(CO)[C@H]([C@@H]([C@@H](CO)O2)O)O)O)O)O)O1)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   101691507
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0000198] Oligosaccharides

*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
NPO16693 Byrsonima crassifolia Species Malpighiaceae Eukaryota n.a. n.a. Database[FooDB]
NPO16693 Byrsonima crassifolia Species Malpighiaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO16693 Byrsonima crassifolia Species Malpighiaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO9141 Epimedium wushanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26304 Hymenocallis littoralis Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9141 Epimedium wushanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15954 Pyrenula japonica Species Pyrenulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO26304 Hymenocallis littoralis Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9141 Epimedium wushanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16326 Scopolia parviflora Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16326 Scopolia parviflora Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17444 Gleichenia japonica Species Gleicheniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14001 Ceroplastes pseudoceriferus Species Coccidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15954 Pyrenula japonica Species Pyrenulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5016 Glossogyne tenuifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12630 Senecio oxyodontus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26304 Hymenocallis littoralis Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17757 Plectranthus saccatus Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15740 Garcinia purpurea Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10751 Bothriocline laxa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14507.1 Quercus ithaburensis subsp. macrolepis Subspecies Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11280 Aphanoascus terreus Species Onygenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16049 Cryptocarya pleurosperma Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO619 Ankistrodesmus braunii Species Selenastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16210 Androcymbium palaestinum Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17141 Lonchocarpus longistylus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16693 Byrsonima crassifolia Species Malpighiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9141 Epimedium wushanense Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18071 Euryops pedunculatus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17917 Thamnophis sirtalis Species Colubridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11755 Banisteriopsis caapi Species Malpighiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17600 Gnathotrichus sulcatus Species Curculionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15594 Aplidiopsis confluata n.a. n.a. n.a. 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 NPC246579 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 NPC246579 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