Structure

Physi-Chem Properties

Molecular Weight:  258.05
Volume:  250.527
LogP:  2.534
LogD:  2.365
LogS:  -3.739
# Rotatable Bonds:  1
TPSA:  79.9
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.655
Synthetic Accessibility Score:  2.386
Fsp3:  0.071
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.89
MDCK Permeability:  2.090249108732678e-05
Pgp-inhibitor:  0.006
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.012
20% Bioavailability (F20%):  0.003
30% Bioavailability (F30%):  0.011

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.025
Plasma Protein Binding (PPB):  91.02532196044922%
Volume Distribution (VD):  0.73
Pgp-substrate:  12.427780151367188%

ADMET: Metabolism

CYP1A2-inhibitor:  0.975
CYP1A2-substrate:  0.875
CYP2C19-inhibitor:  0.253
CYP2C19-substrate:  0.103
CYP2C9-inhibitor:  0.573
CYP2C9-substrate:  0.846
CYP2D6-inhibitor:  0.463
CYP2D6-substrate:  0.296
CYP3A4-inhibitor:  0.449
CYP3A4-substrate:  0.147

ADMET: Excretion

Clearance (CL):  6.847
Half-life (T1/2):  0.832

ADMET: Toxicity

hERG Blockers:  0.002
Human Hepatotoxicity (H-HT):  0.564
Drug-inuced Liver Injury (DILI):  0.983
AMES Toxicity:  0.76
Rat Oral Acute Toxicity:  0.564
Maximum Recommended Daily Dose:  0.122
Skin Sensitization:  0.843
Carcinogencity:  0.826
Eye Corrosion:  0.024
Eye Irritation:  0.896
Respiratory Toxicity:  0.492

Download Data

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

  Natural Product: NPC257298

Natural Product ID:  NPC257298
Common Name*:   JNQLXRMQDHWYIN-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JNQLXRMQDHWYIN-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C14H10O5/c1-18-14-10(16)6-5-8-11(17)7-3-2-4-9(15)12(7)19-13(8)14/h2-6,15-16H,1H3
SMILES:  COc1c(ccc2c(=O)c3cccc(c3oc12)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   5493669
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0000123] Benzopyrans
        • [CHEMONTID:0003410] 1-benzopyrans
          • [CHEMONTID:0002817] Dibenzopyrans
            • [CHEMONTID:0000200] Xanthenes
              • [CHEMONTID:0000204] Xanthones

*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
NPO19755 Artemisia anomala Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[20000780]
NPO19755 Artemisia anomala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17885 Eupatorium sachalinense Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7336 Senecio brasiliensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11057 Artocarpus integra Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO18911 Piper umbellatum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17885 Eupatorium sachalinense Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11057 Artocarpus integra Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19755 Artemisia anomala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7336 Senecio brasiliensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18911 Piper umbellatum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19755 Artemisia anomala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7336 Senecio brasiliensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18013 Sceletium subvelutinum n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO1755 Pinus heldreichii Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11057 Artocarpus integra Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19755 Artemisia anomala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17885 Eupatorium sachalinense Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19563 Gyrophora hyperborea n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO16291 Leptochloa digitata Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18911 Piper umbellatum Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18412 Lobophytum microlobulatum Species Alcyoniidae 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 NPC257298 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 NPC257298 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