Structure

Physi-Chem Properties

Molecular Weight:  408.09
Volume:  371.146
LogP:  0.386
LogD:  0.867
LogS:  -4.011
# Rotatable Bonds:  3
TPSA:  117.69
# H-Bond Aceptor:  8
# H-Bond Donor:  5
# Rings:  7
# Heavy Atoms:  9

MedChem Properties

QED Drug-Likeness Score:  0.487
Synthetic Accessibility Score:  6.757
Fsp3:  0.3
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.617
MDCK Permeability:  1.1306732403681963e-06
Pgp-inhibitor:  0.0
Pgp-substrate:  0.008
Human Intestinal Absorption (HIA):  0.13
20% Bioavailability (F20%):  0.01
30% Bioavailability (F30%):  0.499

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.026
Plasma Protein Binding (PPB):  77.50778198242188%
Volume Distribution (VD):  1.417
Pgp-substrate:  21.593603134155273%

ADMET: Metabolism

CYP1A2-inhibitor:  0.029
CYP1A2-substrate:  0.166
CYP2C19-inhibitor:  0.212
CYP2C19-substrate:  0.075
CYP2C9-inhibitor:  0.311
CYP2C9-substrate:  0.973
CYP2D6-inhibitor:  0.035
CYP2D6-substrate:  0.196
CYP3A4-inhibitor:  0.093
CYP3A4-substrate:  0.211

ADMET: Excretion

Clearance (CL):  3.515
Half-life (T1/2):  0.884

ADMET: Toxicity

hERG Blockers:  0.006
Human Hepatotoxicity (H-HT):  0.217
Drug-inuced Liver Injury (DILI):  0.866
AMES Toxicity:  0.121
Rat Oral Acute Toxicity:  0.388
Maximum Recommended Daily Dose:  0.926
Skin Sensitization:  0.257
Carcinogencity:  0.554
Eye Corrosion:  0.003
Eye Irritation:  0.006
Respiratory Toxicity:  0.875

Download Data

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

  Natural Product: NPC476158

Natural Product ID:  NPC476158
Common Name*:   Discorhabdin N
IUPAC Name:   n.a.
Synonyms:   Discorhabdin N
Standard InCHIKey:  SGXJSKBEBXKZJT-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C20H16N4O4S.C2HF3O2/c25-8-3-9-20-4-10(29-9)23-15-13(20)17-12-7(5-21-14(12)18(15)28)1-2-24(17)16(8)19(20)22-6-11(26)27;3-2(4,5)1(6)7/h3,5,10,16,19,22H,1-2,4,6H2,(H2,21,23,26,27,28);(H,6,7)
SMILES:  OC(=O)C(F)(F)F.OC(=O)CNC1C2C(=O)C=C3C41CC(S3)[N-]C1=C4C3=C4C(=C[NH+]=C4C1=O)CCN23
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL541416
PubChem CID:   45266430
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001626] Phenanthrolines

*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
NPO32524 latrunculid sponges Species n.a. n.a. n.a. South African n.a. PMID[15332840]

☑ 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
NPT393 Cell Line HCT-116 Homo sapiens IC50 = 2249.0 nM PMID[489394]

☑ 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 NPC476158 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
0.7246 Intermediate Similarity NPC475610
0.6413 Remote Similarity NPC476252
0.626 Remote Similarity NPC473364
0.623 Remote Similarity NPC476143
0.616 Remote Similarity NPC476141
0.6094 Remote Similarity NPC477417
0.6094 Remote Similarity NPC477419
0.6034 Remote Similarity NPC469359
0.5864 Remote Similarity NPC469563
0.5859 Remote Similarity NPC477416
0.5816 Remote Similarity NPC72688
0.5773 Remote Similarity NPC469578
0.5714 Remote Similarity NPC220594
0.5714 Remote Similarity NPC469562
0.5641 Remote Similarity NPC475410
0.5641 Remote Similarity NPC469577
0.5634 Remote Similarity NPC175585
0.5602 Remote Similarity NPC13470

  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 NPC476158 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
0.6187 Remote Similarity NPD2090 Approved
0.6144 Remote Similarity NPD3970 Phase 3
0.6118 Remote Similarity NPD4444 Discontinued
0.6084 Remote Similarity NPD2099 Approved
0.6078 Remote Similarity NPD3285 Discontinued
0.6058 Remote Similarity NPD2147 Approved
0.5986 Remote Similarity NPD2100 Approved
0.5909 Remote Similarity NPD3969 Clinical (unspecified phase)
0.5903 Remote Similarity NPD1604 Approved
0.5903 Remote Similarity NPD1605 Approved
0.589 Remote Similarity NPD2645 Approved
0.5855 Remote Similarity NPD4616 Suspended
0.5833 Remote Similarity NPD5323 Approved
0.5822 Remote Similarity NPD3159 Discontinued
0.5811 Remote Similarity NPD3572 Approved
0.5811 Remote Similarity NPD1806 Approved
0.5811 Remote Similarity NPD3571 Approved
0.5806 Remote Similarity NPD5299 Approved
0.5786 Remote Similarity NPD6077 Discontinued
0.5762 Remote Similarity NPD4073 Discontinued
0.5682 Remote Similarity NPD1749 Approved
0.5677 Remote Similarity NPD5664 Approved
0.5646 Remote Similarity NPD1263 Approved
0.5602 Remote Similarity NPD2014 Approved
0.5602 Remote Similarity NPD2016 Approved
0.5602 Remote Similarity NPD2013 Approved
0.56 Remote Similarity NPD2838 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