Structure

Physi-Chem Properties

Molecular Weight:  93.0
Volume:  75.51
LogP:  -0.596
LogD:  -0.66
LogS:  0.165
# Rotatable Bonds:  1
TPSA:  43.09
# H-Bond Aceptor:  2
# H-Bond Donor:  2
# Rings:  0
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.445
Synthetic Accessibility Score:  2.404
Fsp3:  0.5
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  2
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.256
MDCK Permeability:  0.0007411435944959521
Pgp-inhibitor:  0.0
Pgp-substrate:  0.086
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.002
30% Bioavailability (F30%):  0.001

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.999
Plasma Protein Binding (PPB):  25.175872802734375%
Volume Distribution (VD):  0.893
Pgp-substrate:  78.05046844482422%

ADMET: Metabolism

CYP1A2-inhibitor:  0.165
CYP1A2-substrate:  0.276
CYP2C19-inhibitor:  0.032
CYP2C19-substrate:  0.072
CYP2C9-inhibitor:  0.012
CYP2C9-substrate:  0.268
CYP2D6-inhibitor:  0.007
CYP2D6-substrate:  0.247
CYP3A4-inhibitor:  0.006
CYP3A4-substrate:  0.177

ADMET: Excretion

Clearance (CL):  7.606
Half-life (T1/2):  0.515

ADMET: Toxicity

hERG Blockers:  0.052
Human Hepatotoxicity (H-HT):  0.037
Drug-inuced Liver Injury (DILI):  0.085
AMES Toxicity:  0.608
Rat Oral Acute Toxicity:  0.936
Maximum Recommended Daily Dose:  0.015
Skin Sensitization:  0.884
Carcinogencity:  0.187
Eye Corrosion:  0.979
Eye Irritation:  0.988
Respiratory Toxicity:  0.977

Download Data

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

  Natural Product: NPC199978

Natural Product ID:  NPC199978
Common Name*:   2-Chloroacetamide
IUPAC Name:   2-chloroacetamide
Synonyms:   2-Chloro-Acetamide
Standard InCHIKey:  VXIVSQZSERGHQP-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C2H4ClNO/c3-1-2(4)5/h1H2,(H2,4,5)
SMILES:  C(C(=N)O)Cl
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL346368
PubChem CID:   6580
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0001093] Carboxylic acid derivatives
          • [CHEMONTID:0000475] Carboxylic acid amides
            • [CHEMONTID:0004527] Chloroacetamides

*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
NPO21963 Hypericum japonicum Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[11914965]
NPO21963 Hypericum japonicum Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[27116034]
NPO21963 Hypericum japonicum Species Hypericaceae Eukaryota n.a. n.a. n.a. PMID[29667821]
NPO21963 Hypericum japonicum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO21963 Hypericum japonicum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO21963 Hypericum japonicum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO21963 Hypericum japonicum Species Hypericaceae 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
NPT1347 Protein Family Alcohol dehydrogenase Equus caballus Ki = 7585775.75 nM PMID[507548]
NPT35 Others n.a. LogP = -0.59 n.a. PMID[507548]
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. IC50 = 200000.0 nM PMID[507549]
NPT74 Individual Protein Proto-oncogene c-JUN Homo sapiens Potency n.a. 61.6 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 NPC199978 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
0.8846 High Similarity NPC193043
0.72 Intermediate Similarity NPC85447
0.6923 Remote Similarity NPC165568
0.5806 Remote Similarity NPC61558
0.5714 Remote Similarity NPC319972
0.5714 Remote Similarity NPC318463
0.5625 Remote Similarity NPC254685

  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 NPC199978 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
0.5714 Remote Similarity NPD7369 Approved
0.5625 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