Structure

Physi-Chem Properties

Molecular Weight:  364.15
Volume:  348.02
LogP:  0.592
LogD:  -0.009
LogS:  -4.394
# Rotatable Bonds:  0
TPSA:  110.13
# H-Bond Aceptor:  7
# H-Bond Donor:  2
# Rings:  5
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.455
Synthetic Accessibility Score:  6.833
Fsp3:  0.842
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.214
MDCK Permeability:  6.341293919831514e-05
Pgp-inhibitor:  0.942
Pgp-substrate:  0.104
Human Intestinal Absorption (HIA):  0.008
20% Bioavailability (F20%):  0.03
30% Bioavailability (F30%):  0.914

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.877
Plasma Protein Binding (PPB):  28.31324577331543%
Volume Distribution (VD):  0.408
Pgp-substrate:  66.8258285522461%

ADMET: Metabolism

CYP1A2-inhibitor:  0.012
CYP1A2-substrate:  0.928
CYP2C19-inhibitor:  0.013
CYP2C19-substrate:  0.767
CYP2C9-inhibitor:  0.004
CYP2C9-substrate:  0.04
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.145
CYP3A4-inhibitor:  0.203
CYP3A4-substrate:  0.211

ADMET: Excretion

Clearance (CL):  5.083
Half-life (T1/2):  0.155

ADMET: Toxicity

hERG Blockers:  0.046
Human Hepatotoxicity (H-HT):  0.303
Drug-inuced Liver Injury (DILI):  0.504
AMES Toxicity:  0.059
Rat Oral Acute Toxicity:  0.76
Maximum Recommended Daily Dose:  0.545
Skin Sensitization:  0.388
Carcinogencity:  0.069
Eye Corrosion:  0.013
Eye Irritation:  0.024
Respiratory Toxicity:  0.957

Download Data

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

  Natural Product: NPC116644

Natural Product ID:  NPC116644
Common Name*:   FNBJCARFLWAAPK-MJTBGFFTSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  FNBJCARFLWAAPK-MJTBGFFTSA-N
Standard InCHI:  InChI=1S/C19H24O7/c1-7-4-9(20)14(23)17(2)8(7)5-10(21)19-6-25-18(3)13(19)16(24)26-15(18)11(22)12(17)19/h4,8,10-15,21-23H,5-6H2,1-3H3/t8-,10+,11+,12+,13-,14+,15-,17-,18-,19+/m0/s1
SMILES:  CC1=CC(=O)[C@H]([C@@]2(C)[C@H]1C[C@H]([C@]13CO[C@@]4(C)[C@@H]3C(=O)O[C@H]4[C@@H]([C@H]21)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   21574500
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 Leaf n.a. n.a. Database[FooDB]
NPO23869 Basella alba Species Basellaceae Eukaryota n.a. n.a. Database[FooDB]
NPO23869 Basella alba Species Basellaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
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]
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]

☑ 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 NPC116644 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 NPC116644 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