Structure

Physi-Chem Properties

Molecular Weight:  295.14
Volume:  308.095
LogP:  3.593
LogD:  3.297
LogS:  -3.469
# Rotatable Bonds:  1
TPSA:  49.27
# H-Bond Aceptor:  4
# H-Bond Donor:  2
# Rings:  4
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.678
Synthetic Accessibility Score:  3.047
Fsp3:  0.278
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.943
MDCK Permeability:  1.8476295736036263e-05
Pgp-inhibitor:  0.004
Pgp-substrate:  0.999
Human Intestinal Absorption (HIA):  0.099
20% Bioavailability (F20%):  0.99
30% Bioavailability (F30%):  0.709

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.828
Plasma Protein Binding (PPB):  92.74047088623047%
Volume Distribution (VD):  0.943
Pgp-substrate:  6.501317977905273%

ADMET: Metabolism

CYP1A2-inhibitor:  0.867
CYP1A2-substrate:  0.918
CYP2C19-inhibitor:  0.082
CYP2C19-substrate:  0.071
CYP2C9-inhibitor:  0.067
CYP2C9-substrate:  0.709
CYP2D6-inhibitor:  0.862
CYP2D6-substrate:  0.907
CYP3A4-inhibitor:  0.116
CYP3A4-substrate:  0.155

ADMET: Excretion

Clearance (CL):  9.655
Half-life (T1/2):  0.641

ADMET: Toxicity

hERG Blockers:  0.086
Human Hepatotoxicity (H-HT):  0.053
Drug-inuced Liver Injury (DILI):  0.362
AMES Toxicity:  0.849
Rat Oral Acute Toxicity:  0.068
Maximum Recommended Daily Dose:  0.85
Skin Sensitization:  0.82
Carcinogencity:  0.797
Eye Corrosion:  0.009
Eye Irritation:  0.87
Respiratory Toxicity:  0.72

Download Data

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

  Natural Product: NPC472192

Natural Product ID:  NPC472192
Common Name*:   OVLDHOAUOKJCIX-SFHVURJKSA-O
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  OVLDHOAUOKJCIX-SFHVURJKSA-O
Standard InCHI:  InChI=1S/C18H20N2O3/c1-18(23)10-14-16(15(22)11-18)17(12-4-6-13(21)7-5-12)20-9-3-2-8-19(14)20/h4-7,23H,2-3,8-11H2,1H3/p+1/t18-/m0/s1
SMILES:  O=C1C=CC(=c2n3CCCC[n+]3c3c2C(=O)C[C@@](C3)(C)O)C=C1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL3344046
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001629] Benzopyrazoles
        • [CHEMONTID:0000080] Indazoles
          • [CHEMONTID:0001856] Pyridazinoindazoles

*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
NPO12297 Nigella sativa Species Ranunculaceae Eukaryota seeds n.a. n.a. PMID[25299458]
NPO12297 Nigella sativa Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO12297 Nigella sativa Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12297 Nigella sativa Species Ranunculaceae 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
NPT65 Cell Line HepG2 Homo sapiens Activity = 8.0 % PMID[501035]

☑ 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 NPC472192 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
0.6796 Remote Similarity NPC472194
0.6218 Remote Similarity NPC34193
0.6083 Remote Similarity NPC314792
0.6048 Remote Similarity NPC24596
0.5935 Remote Similarity NPC9436
0.5918 Remote Similarity NPC201899
0.5918 Remote Similarity NPC471674
0.5882 Remote Similarity NPC475610
0.5878 Remote Similarity NPC471673
0.5862 Remote Similarity NPC236322
0.5827 Remote Similarity NPC72688
0.5806 Remote Similarity NPC87919
0.5806 Remote Similarity NPC133420
0.5789 Remote Similarity NPC476141
0.5772 Remote Similarity NPC251884
0.576 Remote Similarity NPC185929
0.5748 Remote Similarity NPC175585
0.5714 Remote Similarity NPC176773
0.5652 Remote Similarity NPC96010
0.5652 Remote Similarity NPC317654
0.5649 Remote Similarity NPC176336

  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 NPC472192 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
0.5746 Remote Similarity NPD7739 Clinical (unspecified phase)
0.5704 Remote Similarity NPD7623 Phase 3
0.5704 Remote Similarity NPD7624 Clinical (unspecified phase)

  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