Structure

Physi-Chem Properties

Molecular Weight:  488.24
Volume:  489.905
LogP:  2.555
LogD:  2.111
LogS:  -4.327
# Rotatable Bonds:  4
TPSA:  116.2
# H-Bond Aceptor:  8
# H-Bond Donor:  1
# Rings:  5
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.366
Synthetic Accessibility Score:  5.43
Fsp3:  0.778
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.124
MDCK Permeability:  0.000110439803393092
Pgp-inhibitor:  0.999
Pgp-substrate:  0.99
Human Intestinal Absorption (HIA):  0.034
20% Bioavailability (F20%):  0.066
30% Bioavailability (F30%):  0.942

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.904
Plasma Protein Binding (PPB):  34.89985275268555%
Volume Distribution (VD):  0.34
Pgp-substrate:  35.10905075073242%

ADMET: Metabolism

CYP1A2-inhibitor:  0.014
CYP1A2-substrate:  0.046
CYP2C19-inhibitor:  0.018
CYP2C19-substrate:  0.161
CYP2C9-inhibitor:  0.008
CYP2C9-substrate:  0.026
CYP2D6-inhibitor:  0.006
CYP2D6-substrate:  0.071
CYP3A4-inhibitor:  0.581
CYP3A4-substrate:  0.316

ADMET: Excretion

Clearance (CL):  9.391
Half-life (T1/2):  0.841

ADMET: Toxicity

hERG Blockers:  0.032
Human Hepatotoxicity (H-HT):  0.435
Drug-inuced Liver Injury (DILI):  0.471
AMES Toxicity:  0.02
Rat Oral Acute Toxicity:  0.813
Maximum Recommended Daily Dose:  0.598
Skin Sensitization:  0.4
Carcinogencity:  0.487
Eye Corrosion:  0.737
Eye Irritation:  0.077
Respiratory Toxicity:  0.966

Download Data

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

  Natural Product: NPC236530

Natural Product ID:  NPC236530
Common Name*:   HQYZWIPVNUKUDQ-RETDHCKTSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  HQYZWIPVNUKUDQ-RETDHCKTSA-N
Standard InCHI:  InChI=1S/C27H36O8/c1-13-6-7-19(30)26(4)16(13)9-20-27(5)18(10-22(32)34-20)25(3,11-17(23(26)27)33-14(2)29)24-15(12-28)8-21(31)35-24/h6,15-18,20,23-24,28H,7-12H2,1-5H3/t15-,16+,17-,18+,20-,23-,24+,25-,26-,27-/m1/s1
SMILES:  CC1=CCC(=O)[C@@]2(C)[C@H]1C[C@@H]1[C@@]3(C)[C@@H](CC(=O)O1)[C@@](C)(C[C@H]([C@H]23)OC(=O)C)[C@@H]1[C@H](CC(=O)O1)CO
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0002119] Quassinoids

*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
NPO23869 Basella alba Species Basellaceae Eukaryota n.a. n.a. Database[FooDB]
NPO23869 Basella alba Species Basellaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO23869 Basella alba Species Basellaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27970 Desmonostoc muscorum Species 0stocaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO11660 Qualea paraensis Species Vochysiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6551 Lythrum lanceolatum Species Lythraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11902 Gomphocarpus fruticosus Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4438 Austrobrickellia patens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2230 Fusarium sporotrichiella Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10692 Euryops othonnoides Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3635 Omphalotus olearius Species Omphalotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23869 Basella alba Species Basellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1129 Punctularia atropurpurascens Species Punctulariaceae 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 NPC236530 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 NPC236530 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