Structure

Physi-Chem Properties

Molecular Weight:  141.12
Volume:  155.518
LogP:  0.193
LogD:  -0.344
LogS:  0.147
# Rotatable Bonds:  2
TPSA:  20.31
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  1
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.573
Synthetic Accessibility Score:  2.788
Fsp3:  0.875
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.508
MDCK Permeability:  1.0141464372281916e-05
Pgp-inhibitor:  0.007
Pgp-substrate:  0.238
Human Intestinal Absorption (HIA):  0.013
20% Bioavailability (F20%):  0.019
30% Bioavailability (F30%):  0.809

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.941
Plasma Protein Binding (PPB):  15.930643081665039%
Volume Distribution (VD):  1.538
Pgp-substrate:  88.6099853515625%

ADMET: Metabolism

CYP1A2-inhibitor:  0.025
CYP1A2-substrate:  0.276
CYP2C19-inhibitor:  0.023
CYP2C19-substrate:  0.948
CYP2C9-inhibitor:  0.001
CYP2C9-substrate:  0.09
CYP2D6-inhibitor:  0.116
CYP2D6-substrate:  0.895
CYP3A4-inhibitor:  0.003
CYP3A4-substrate:  0.335

ADMET: Excretion

Clearance (CL):  11.092
Half-life (T1/2):  0.716

ADMET: Toxicity

hERG Blockers:  0.027
Human Hepatotoxicity (H-HT):  0.413
Drug-inuced Liver Injury (DILI):  0.065
AMES Toxicity:  0.019
Rat Oral Acute Toxicity:  0.475
Maximum Recommended Daily Dose:  0.449
Skin Sensitization:  0.836
Carcinogencity:  0.82
Eye Corrosion:  0.927
Eye Irritation:  0.917
Respiratory Toxicity:  0.935

Download Data

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

  Natural Product: NPC164378

Natural Product ID:  NPC164378
Common Name*:   ADKXZIOQKHHDNQ-QMMMGPOBSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  ADKXZIOQKHHDNQ-QMMMGPOBSA-N
Standard InCHI:  InChI=1S/C8H15NO/c1-7(10)6-8-4-3-5-9(8)2/h8H,3-6H2,1-2H3/t8-/m0/s1
SMILES:  CC(=O)C[C@@H]1CCCN1C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   443144
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids 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
NPO6495 Datura stramonium Species Solanaceae Eukaryota n.a. n.a. n.a. PMID[15374592]
NPO24850 Datura metel Species Solanaceae Eukaryota flowers Yuxi Town, Fuqing City, Fujian Province, China 2005-SEP PMID[17583953]
NPO25993 Atropa belladonna Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6495 Datura stramonium Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24850 Datura metel Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6495 Datura stramonium Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25993 Atropa belladonna Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24850 Datura metel Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6495 Datura stramonium Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO24850 Datura metel Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25993 Atropa belladonna Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25993 Atropa belladonna Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO24850 Datura metel Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6495 Datura stramonium Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO24850 Datura metel Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25993 Atropa belladonna Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6495 Datura stramonium Species Solanaceae 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 NPC164378 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 NPC164378 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