Structure

Physi-Chem Properties

Molecular Weight:  640.23
Volume:  612.745
LogP:  3.34
LogD:  1.372
LogS:  -4.531
# Rotatable Bonds:  11
TPSA:  164.26
# H-Bond Aceptor:  12
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  13

MedChem Properties

QED Drug-Likeness Score:  0.187
Synthetic Accessibility Score:  6.28
Fsp3:  0.71
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  2
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.069
MDCK Permeability:  8.921140397433192e-05
Pgp-inhibitor:  0.999
Pgp-substrate:  0.006
Human Intestinal Absorption (HIA):  0.034
20% Bioavailability (F20%):  0.021
30% Bioavailability (F30%):  0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.246
Plasma Protein Binding (PPB):  76.65107727050781%
Volume Distribution (VD):  1.525
Pgp-substrate:  42.867610931396484%

ADMET: Metabolism

CYP1A2-inhibitor:  0.015
CYP1A2-substrate:  0.02
CYP2C19-inhibitor:  0.013
CYP2C19-substrate:  0.066
CYP2C9-inhibitor:  0.004
CYP2C9-substrate:  0.003
CYP2D6-inhibitor:  0.016
CYP2D6-substrate:  0.026
CYP3A4-inhibitor:  0.405
CYP3A4-substrate:  0.227

ADMET: Excretion

Clearance (CL):  4.399
Half-life (T1/2):  0.605

ADMET: Toxicity

hERG Blockers:  0.048
Human Hepatotoxicity (H-HT):  0.921
Drug-inuced Liver Injury (DILI):  0.965
AMES Toxicity:  0.25
Rat Oral Acute Toxicity:  0.661
Maximum Recommended Daily Dose:  0.456
Skin Sensitization:  0.669
Carcinogencity:  0.051
Eye Corrosion:  0.006
Eye Irritation:  0.017
Respiratory Toxicity:  0.962

Download Data

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

  Natural Product: NPC483347

Natural Product ID:  NPC483347
Common Name*:   CFWWBCJAJBSZLG-IYFUYUDPSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  CFWWBCJAJBSZLG-IYFUYUDPSA-N
Standard InCHI:  InChI=1S/C31H41ClO12/c1-15(2)12-22(35)39-13-23(36)43-20-9-8-16(3)24(32)26-31(38,17(4)28(37)44-26)27(42-19(6)34)25-29(20,7)21(41-18(5)33)10-11-30(25)14-40-30/h8-9,15,17,20-21,24-27,38H,3,10-14H2,1-2,4-7H3/b9-8-/t17-,20-,21-,24-,25+,26-,27-,29-,30-,31-/m0/s1
SMILES:  CC(C)CC(=O)OCC(=O)O[C@H]1/C=CC(=C)[C@@H]([C@H]2[C@@]([C@@H](C)C(=O)O2)([C@H]([C@@H]2[C@]1(C)[C@H](CC[C@@]12CO1)OC(=O)C)OC(=O)C)O)Cl
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   44587221
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0001538] Diterpene lactones

*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
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[10075754]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. West Pacific Ocean n.a. PMID[11087588]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[11087588]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[16499329]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. PMID[18774864]
NPO3708 Junceella fragilis Species Ellisellidae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3708 Junceella fragilis Species Ellisellidae 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
NPT1171 Cell Line HEp-2 Homo sapiens IC50 > 20.0 ug.mL-1 PMID[18774864]
NPT1183 Cell Line WiDr Homo sapiens IC50 > 20.0 ug.mL-1 PMID[18774864]
NPT165 Cell Line HeLa Homo sapiens IC50 > 20.0 ug.mL-1 PMID[18774864]
NPT65 Cell Line HepG2 Homo sapiens CC50 > 100000.0 nM PMID[32690259]
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. IC50 > 20.0 ug.mL-1 PMID[18774864]
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. Inhibition = 8.3 % PMID[18774864]
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. Inhibition = -7.5 % PMID[18774864]
NPT963 Organism Hepatitis B virus Hepatitis B virus Inhibition = 0.0 % PMID[32690259]
NPT2 Others Unspecified CC50 > 100000.0 nM PMID[32690259]

☑ 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 NPC483347 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 NPC483347 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