Structure

Physi-Chem Properties

Molecular Weight:  88.05
Volume:  86.764
LogP:  -0.27
LogD:  0.264
LogS:  0.987
# Rotatable Bonds:  0
TPSA:  18.46
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  1
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.416
Synthetic Accessibility Score:  2.231
Fsp3:  1.0
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:  -4.248
MDCK Permeability:  3.447344352025539e-05
Pgp-inhibitor:  0.0
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.001
20% Bioavailability (F20%):  0.224
30% Bioavailability (F30%):  0.029

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.7
Plasma Protein Binding (PPB):  11.368880271911621%
Volume Distribution (VD):  0.972
Pgp-substrate:  79.8423080444336%

ADMET: Metabolism

CYP1A2-inhibitor:  0.06
CYP1A2-substrate:  0.325
CYP2C19-inhibitor:  0.026
CYP2C19-substrate:  0.466
CYP2C9-inhibitor:  0.004
CYP2C9-substrate:  0.054
CYP2D6-inhibitor:  0.005
CYP2D6-substrate:  0.123
CYP3A4-inhibitor:  0.005
CYP3A4-substrate:  0.203

ADMET: Excretion

Clearance (CL):  6.598
Half-life (T1/2):  0.767

ADMET: Toxicity

hERG Blockers:  0.257
Human Hepatotoxicity (H-HT):  0.057
Drug-inuced Liver Injury (DILI):  0.018
AMES Toxicity:  0.239
Rat Oral Acute Toxicity:  0.177
Maximum Recommended Daily Dose:  0.011
Skin Sensitization:  0.816
Carcinogencity:  0.664
Eye Corrosion:  0.841
Eye Irritation:  0.995
Respiratory Toxicity:  0.03

Download Data

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

  Natural Product: NPC321400

Natural Product ID:  NPC321400
Common Name*:   Dioxane
IUPAC Name:   1,4-dioxane
Synonyms:   1,4-Dioxane
Standard InCHIKey:  RYHBNJHYFVUHQT-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C4H8O2/c1-2-6-4-3-5-1/h1-4H2
SMILES:  O1CCOCC1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL453716
PubChem CID:   31275
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000368] Dioxanes
        • [CHEMONTID:0001313] 1,4-dioxanes

*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
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. Nigeria(latitude 80°N and longitude 4°E) 2005; 2006 DOI[10.1002/ejlt.201000080]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11306-010-0259-y]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11306-014-0638-x]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11746-997-0093-1]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/j.phytol.2008.07.007]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Seeds Plovdiv, Plovdiv region in South Bulgaria DOI[10.1051/CTV/20163101031]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. PMID[11170689]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. fruit n.a. PMID[11312782]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. leaf n.a. PMID[11312782]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. PMID[11408943]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. fruit n.a. PMID[12105962]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. Esuela Tecnica Superior de Ingenieros Agrónomos de Albacete 2007 PMID[19256538]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. PMID[20826702]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. PMID[22537213]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. PMID[23759170]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Stalks n.a. n.a. PMID[24521157]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Seeds Benedictine Pannonhalma Archabbey, Hungary PMID[29803478]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. PMID[31433178]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Fruits n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Leaf Essent. Oil n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Plant n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. Database[FooDB]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. Database[MetaboLights]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17024 Vitis vinifera Species Vitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO17024 Vitis vinifera Species Vitaceae 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
NPT35 Others n.a. LogP = -0.27 n.a. PMID[558138]
NPT35 Others n.a. LogP = -0.81 n.a. PMID[558138]
NPT32 Organism Mus musculus Mus musculus pTD50 = 1.883 n.a. PMID[558139]
NPT2 Others Unspecified Potency n.a. 8846.1 nM PubChem BioAssay data set

☑ 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 NPC321400 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
0.85 High Similarity NPC43196
0.7083 Intermediate Similarity NPC237965
0.7083 Intermediate Similarity NPC318912
0.68 Remote Similarity NPC304786
0.6538 Remote Similarity NPC230452
0.6538 Remote Similarity NPC329496
0.6538 Remote Similarity NPC128335
0.6538 Remote Similarity NPC317724
0.6296 Remote Similarity NPC272307
0.6087 Remote Similarity NPC327092
0.6071 Remote Similarity NPC238135
0.6071 Remote Similarity NPC88135
0.6 Remote Similarity NPC23508
0.5862 Remote Similarity NPC232172
0.5833 Remote Similarity NPC61373
0.5769 Remote Similarity NPC110107
0.5769 Remote Similarity NPC184593
0.56 Remote Similarity NPC308490

  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 NPC321400 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
0.7 Intermediate Similarity NPD8547 Phase 2
0.6538 Remote Similarity NPD8992 Approved
0.5667 Remote Similarity NPD901 Approved

  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