Structure

Physi-Chem Properties

Molecular Weight:  378.13
Volume:  366.014
LogP:  0.751
LogD:  0.741
LogS:  -2.977
# Rotatable Bonds:  6
TPSA:  108.5
# H-Bond Aceptor:  8
# H-Bond Donor:  0
# Rings:  3
# Heavy Atoms:  8

MedChem Properties

QED Drug-Likeness Score:  0.235
Synthetic Accessibility Score:  5.173
Fsp3:  0.579
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  3
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.141
MDCK Permeability:  7.482928776880726e-05
Pgp-inhibitor:  0.025
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.722
20% Bioavailability (F20%):  0.625
30% Bioavailability (F30%):  0.988

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.731
Plasma Protein Binding (PPB):  36.99577713012695%
Volume Distribution (VD):  1.197
Pgp-substrate:  56.192481994628906%

ADMET: Metabolism

CYP1A2-inhibitor:  0.034
CYP1A2-substrate:  0.056
CYP2C19-inhibitor:  0.072
CYP2C19-substrate:  0.158
CYP2C9-inhibitor:  0.033
CYP2C9-substrate:  0.057
CYP2D6-inhibitor:  0.029
CYP2D6-substrate:  0.13
CYP3A4-inhibitor:  0.177
CYP3A4-substrate:  0.275

ADMET: Excretion

Clearance (CL):  2.854
Half-life (T1/2):  0.825

ADMET: Toxicity

hERG Blockers:  0.037
Human Hepatotoxicity (H-HT):  0.623
Drug-inuced Liver Injury (DILI):  0.691
AMES Toxicity:  0.949
Rat Oral Acute Toxicity:  0.516
Maximum Recommended Daily Dose:  0.907
Skin Sensitization:  0.939
Carcinogencity:  0.255
Eye Corrosion:  0.07
Eye Irritation:  0.143
Respiratory Toxicity:  0.867

Download Data

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

  Natural Product: NPC86147

Natural Product ID:  NPC86147
Common Name*:   FIUKBHLOUGCTHU-PAZPRULQSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  FIUKBHLOUGCTHU-PAZPRULQSA-N
Standard InCHI:  InChI=1S/C19H22O8/c1-10-17-14(26-18(10)23)6-13(8-20)4-5-16-19(27-16,9-24-11(2)21)7-15(17)25-12(3)22/h6,8,14-17H,1,4-5,7,9H2,2-3H3/b13-6+/t14-,15+,16-,17+,19-/m1/s1
SMILES:  C=C1[C@H]2[C@@H](/C=C(CC[C@@H]3[C@@](C[C@@H]2OC(=O)C)(COC(=O)C)O3)/C=O)OC1=O
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:0001543] Sesquiterpene lactones
            • [CHEMONTID:0001771] Germacranolides and derivatives

*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
NPO25689 Mikania minima Species n.a. n.a. n.a. n.a. n.a. PMID[10757707]
NPO23784 Botryosphaeria rhodina Species Botryosphaeriaceae Eukaryota n.a. n.a. n.a. PMID[17432876]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. PMID[24170571]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. root n.a. PMID[24170571]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Europe PMC[300080]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. root n.a. Europe PMC[300080]
NPO429 Chrysosporium merdarium Species n.a. Eukaryota n.a. n.a. n.a. PMID[9207909]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7685 Ormosia indurata Species Limoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8847 Aconitum kusnezoffii Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO533 Heterophragma adenophyllum Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5671 Streptomyces davawensis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO25689 Mikania minima Species n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO23784 Botryosphaeria rhodina Species Botryosphaeriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9890 Pleurobranchus membranaceus Species Pleurobranchidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO429 Chrysosporium merdarium Species n.a. 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 NPC86147 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 NPC86147 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