Structure

Physi-Chem Properties

Molecular Weight:  119.02
Volume:  101.329
LogP:  -1.665
LogD:  -1.529
LogS:  0.341
# Rotatable Bonds:  3
TPSA:  77.84
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  0
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.281
Synthetic Accessibility Score:  2.961
Fsp3:  0.333
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:  -5.883
MDCK Permeability:  0.00576253654435277
Pgp-inhibitor:  0.0
Pgp-substrate:  0.015
Human Intestinal Absorption (HIA):  0.952
20% Bioavailability (F20%):  0.078
30% Bioavailability (F30%):  0.984

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.216
Plasma Protein Binding (PPB):  11.768781661987305%
Volume Distribution (VD):  0.518
Pgp-substrate:  86.1931381225586%

ADMET: Metabolism

CYP1A2-inhibitor:  0.008
CYP1A2-substrate:  0.06
CYP2C19-inhibitor:  0.031
CYP2C19-substrate:  0.042
CYP2C9-inhibitor:  0.02
CYP2C9-substrate:  0.934
CYP2D6-inhibitor:  0.015
CYP2D6-substrate:  0.145
CYP3A4-inhibitor:  0.009
CYP3A4-substrate:  0.005

ADMET: Excretion

Clearance (CL):  2.96
Half-life (T1/2):  0.821

ADMET: Toxicity

hERG Blockers:  0.019
Human Hepatotoxicity (H-HT):  0.097
Drug-inuced Liver Injury (DILI):  0.718
AMES Toxicity:  0.017
Rat Oral Acute Toxicity:  0.004
Maximum Recommended Daily Dose:  0.009
Skin Sensitization:  0.206
Carcinogencity:  0.02
Eye Corrosion:  0.856
Eye Irritation:  0.895
Respiratory Toxicity:  0.033

Download Data

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

  Natural Product: NPC274538

Natural Product ID:  NPC274538
Common Name*:   Trimethylamine Hydrochloride
IUPAC Name:   N,N-dimethylmethanamine;hydrochloride
Synonyms:   Trimethylamine HCl
Standard InCHIKey:  SZYJELPVAFJOGJ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C3H9N.ClH/c1-4(2)3;/h1-3H3;1H
SMILES:  CN(C)C.Cl
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL450057
PubChem CID:   10313079
12698377
11649
74764573
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004707] Organic nitrogen compounds
      • [CHEMONTID:0000278] Organonitrogen compounds
        • [CHEMONTID:0002449] Amines
          • [CHEMONTID:0002452] Tertiary amines
            • [CHEMONTID:0002239] Trialkylamines

*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
NPO6336 Asarum sieboldii Species Aristolochiaceae Eukaryota roots n.a. n.a. PMID[22381047]
NPO31073 Ligusticum chuanxiong Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6336 Asarum sieboldii Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30810 Buthus martensi Species Buthidae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6336 Asarum sieboldii Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO31073 Ligusticum chuanxiong Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6336 Asarum sieboldii Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30810 Buthus martensi Species Buthidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO6336 Asarum sieboldii Species Aristolochiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO6336 Asarum sieboldii 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
NPT2 Others Unspecified Activity > 1000.0 n.a. PMID[498313]
NPT2 Others Unspecified Potency n.a. 44288.1 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 NPC274538 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
1.0 High Similarity NPC246534
0.9167 High Similarity NPC35268
0.6 Remote Similarity NPC226340
0.5789 Remote Similarity NPC309367
0.5789 Remote Similarity NPC329501
0.5789 Remote Similarity NPC258096

  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 NPC274538 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
0.6875 Remote 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