Structure

Physi-Chem Properties

Molecular Weight:  266.07
Volume:  266.963
LogP:  2.15
LogD:  2.071
LogS:  -3.69
# Rotatable Bonds:  2
TPSA:  83.05
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.693
Synthetic Accessibility Score:  1.999
Fsp3:  0.0
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.878
MDCK Permeability:  1.035320292430697e-05
Pgp-inhibitor:  0.003
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.007
20% Bioavailability (F20%):  0.006
30% Bioavailability (F30%):  0.303

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.471
Plasma Protein Binding (PPB):  98.11418151855469%
Volume Distribution (VD):  0.501
Pgp-substrate:  2.0476834774017334%

ADMET: Metabolism

CYP1A2-inhibitor:  0.957
CYP1A2-substrate:  0.173
CYP2C19-inhibitor:  0.39
CYP2C19-substrate:  0.057
CYP2C9-inhibitor:  0.468
CYP2C9-substrate:  0.863
CYP2D6-inhibitor:  0.042
CYP2D6-substrate:  0.191
CYP3A4-inhibitor:  0.08
CYP3A4-substrate:  0.311

ADMET: Excretion

Clearance (CL):  3.958
Half-life (T1/2):  0.843

ADMET: Toxicity

hERG Blockers:  0.022
Human Hepatotoxicity (H-HT):  0.162
Drug-inuced Liver Injury (DILI):  0.967
AMES Toxicity:  0.288
Rat Oral Acute Toxicity:  0.114
Maximum Recommended Daily Dose:  0.04
Skin Sensitization:  0.07
Carcinogencity:  0.728
Eye Corrosion:  0.003
Eye Irritation:  0.87
Respiratory Toxicity:  0.541

Download Data

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

  Natural Product: NPC73961

Natural Product ID:  NPC73961
Common Name*:   RGJAZQRSYANVPX-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  RGJAZQRSYANVPX-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C15H10N2O3/c18-10-7-5-9(6-8-10)13(19)14-16-12-4-2-1-3-11(12)15(20)17-14/h1-8,18H,(H,16,17,20)
SMILES:  c1ccc2c(c1)c(nc(C(=O)c1ccc(cc1)O)n2)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   53356218
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003670] Aryl ketones
              • [CHEMONTID:0004296] Phenylketones
                • [CHEMONTID:0004297] Aryl-phenylketones

*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
NPO33640 Penicillium paneum SD-44 Species Aspergillaceae Eukaryota isolated from a marine sediment sample South China Sea at a depth of 201 m, China 2008-AUG PMID[21495659]
NPO27983 Penicillium paneum Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[21495659]
NPO3185 Isodon walkeri Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO27940 Betula middendorffi Species Betulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27344 Krameria triandra Species Krameriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27983 Penicillium paneum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27676 Sinularia conferta Species Alcyoniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28116 Carnegia gigantea Species Saturniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3185 Isodon walkeri Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7701 Myxococcus virescens Species Myxococcaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO27296 Datura leichhardtii Species Solanaceae 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

☑ 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 NPC73961 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

  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 NPC73961 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

  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