Structure

Physi-Chem Properties

Molecular Weight:  73.05
Volume:  77.595
LogP:  -0.721
LogD:  -0.372
LogS:  0.931
# Rotatable Bonds:  1
TPSA:  29.1
# H-Bond Aceptor:  2
# H-Bond Donor:  1
# Rings:  0
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.421
Synthetic Accessibility Score:  1.913
Fsp3:  0.667
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:  -4.738
MDCK Permeability:  4.666031964006834e-05
Pgp-inhibitor:  0.0
Pgp-substrate:  0.031
Human Intestinal Absorption (HIA):  0.009
20% Bioavailability (F20%):  0.005
30% Bioavailability (F30%):  0.003

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.963
Plasma Protein Binding (PPB):  5.1565775871276855%
Volume Distribution (VD):  1.111
Pgp-substrate:  91.02555847167969%

ADMET: Metabolism

CYP1A2-inhibitor:  0.103
CYP1A2-substrate:  0.281
CYP2C19-inhibitor:  0.031
CYP2C19-substrate:  0.436
CYP2C9-inhibitor:  0.013
CYP2C9-substrate:  0.16
CYP2D6-inhibitor:  0.004
CYP2D6-substrate:  0.311
CYP3A4-inhibitor:  0.005
CYP3A4-substrate:  0.147

ADMET: Excretion

Clearance (CL):  3.785
Half-life (T1/2):  0.78

ADMET: Toxicity

hERG Blockers:  0.009
Human Hepatotoxicity (H-HT):  0.321
Drug-inuced Liver Injury (DILI):  0.048
AMES Toxicity:  0.052
Rat Oral Acute Toxicity:  0.027
Maximum Recommended Daily Dose:  0.14
Skin Sensitization:  0.147
Carcinogencity:  0.028
Eye Corrosion:  0.01
Eye Irritation:  0.303
Respiratory Toxicity:  0.021

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

  Natural Product: NPC318463

Natural Product ID:  NPC318463
Common Name*:   N-Methylacetamide
IUPAC Name:   N-methylacetamide
Synonyms:   N-Methyl-Acetamide
Standard InCHIKey:  OHLUUHNLEMFGTQ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C3H7NO/c1-3(5)4-2/h1-2H3,(H,4,5)
SMILES:  CN=C(O)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL11544
PubChem CID:   6582
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0002285] Carboximidic acids and derivatives
        • [CHEMONTID:0002484] Carboximidic acids

*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
NPT1761 Cell Line Erythroleukemia cell line Concentration = 40.0 mM PMID[543260]
NPT1761 Cell Line Erythroleukemia cell line Cell growth = 121.0 % PMID[543260]
NPT1761 Cell Line Erythroleukemia cell line Cell growth = 55.0 % PMID[543260]
NPT1761 Cell Line Erythroleukemia cell line Benzidine positive cells = 90.0 % PMID[543260]
NPT35 Others n.a. LogP = -1.05 n.a. PMID[543261]
NPT27 Others Unspecified k2 = 3.32 M-1 s-1 PMID[543262]
NPT2 Others Unspecified Potency n.a. 6916.7 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 NPC318463 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
0.7727 Intermediate Similarity NPC85447
0.7391 Intermediate Similarity NPC319972
0.7308 Intermediate Similarity NPC290188
0.6667 Remote Similarity NPC260324
0.6667 Remote Similarity NPC165568
0.6667 Remote Similarity NPC328698
0.6129 Remote Similarity NPC145895
0.6087 Remote Similarity NPC8249
0.6071 Remote Similarity NPC322649
0.5882 Remote Similarity NPC25237
0.5862 Remote Similarity NPC254685
0.5714 Remote Similarity NPC199978

  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 NPC318463 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
0.7391 Intermediate Similarity NPD7369 Approved
0.7143 Intermediate Similarity NPD8613 Approved
0.5862 Remote Similarity NPD8622 Discontinued

  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