Structure

Physi-Chem Properties

Molecular Weight:  74.1
Volume:  90.055
LogP:  -2.049
LogD:  0.636
LogS:  0.221
# Rotatable Bonds:  0
TPSA:  0.0
# H-Bond Aceptor:  1
# H-Bond Donor:  0
# Rings:  0
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.363
Synthetic Accessibility Score:  2.805
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:  -5.504
MDCK Permeability:  1.9851087927236222e-05
Pgp-inhibitor:  0.001
Pgp-substrate:  0.575
Human Intestinal Absorption (HIA):  0.829
20% Bioavailability (F20%):  0.955
30% Bioavailability (F30%):  0.927

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.128
Plasma Protein Binding (PPB):  11.607259750366211%
Volume Distribution (VD):  0.749
Pgp-substrate:  87.81778717041016%

ADMET: Metabolism

CYP1A2-inhibitor:  0.014
CYP1A2-substrate:  0.737
CYP2C19-inhibitor:  0.025
CYP2C19-substrate:  0.048
CYP2C9-inhibitor:  0.003
CYP2C9-substrate:  0.154
CYP2D6-inhibitor:  0.002
CYP2D6-substrate:  0.896
CYP3A4-inhibitor:  0.003
CYP3A4-substrate:  0.075

ADMET: Excretion

Clearance (CL):  3.888
Half-life (T1/2):  0.861

ADMET: Toxicity

hERG Blockers:  0.005
Human Hepatotoxicity (H-HT):  0.056
Drug-inuced Liver Injury (DILI):  0.006
AMES Toxicity:  0.003
Rat Oral Acute Toxicity:  0.259
Maximum Recommended Daily Dose:  0.27
Skin Sensitization:  0.017
Carcinogencity:  0.016
Eye Corrosion:  0.19
Eye Irritation:  0.692
Respiratory Toxicity:  0.167

Download Data

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

  Natural Product: NPC35268

Natural Product ID:  NPC35268
Common Name*:   Tetramethylammonium Ion
IUPAC Name:   tetramethylazanium
Synonyms:   Tetramethyl-Ammonium
Standard InCHIKey:  QEMXHQIAXOOASZ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C4H12N/c1-5(2,3)4/h1-4H3/q+1
SMILES:  C[N+](C)(C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL46486
PubChem CID:   6380
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004707] Organic nitrogen compounds
      • [CHEMONTID:0000278] Organonitrogen compounds
        • [CHEMONTID:0000503] Quaternary ammonium salts
          • [CHEMONTID:0004225] Tetraalkylammonium salts

*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
NPO2016 Asarum europaeum Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2016 Asarum europaeum Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2016 Asarum europaeum Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO5316 Parapristipoma trilineatum Species Haemulidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3536 Calceolaria andina Species Calceolariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2016 Asarum europaeum Species Aristolochiaceae 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
NPT410 Individual Protein Neuronal acetylcholine receptor protein alpha-7 subunit Homo sapiens Ki = 2300.0 nM PMID[488491]
NPT27 Others Unspecified Binding energy = 3.6 kCal mol-1 PMID[488490]
NPT409 Protein Complex Neuronal acetylcholine receptor; alpha4/beta2 Homo sapiens Ki = 24.0 nM PMID[488491]
NPT20556 SINGLE PROTEIN Replicase polyprotein 1ab Severe acute respiratory syndrome coronavirus 2 Inhibition = 17.65 % PMID[488492]
NPT20555 ORGANISM SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Inhibition = -0.06 % PMID[488493]

☑ 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 NPC35268 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
0.9167 High Similarity NPC246534
0.9167 High Similarity NPC274538
0.6316 Remote Similarity NPC329501
0.6316 Remote Similarity NPC258096
0.6316 Remote Similarity NPC309367
0.5625 Remote Similarity NPC226340

  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 NPC35268 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
0.75 Intermediate Similarity NPD8816 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