Structure

Physi-Chem Properties

Molecular Weight:  694.32
Volume:  684.298
LogP:  1.896
LogD:  1.143
LogS:  -3.844
# Rotatable Bonds:  17
TPSA:  214.2
# H-Bond Aceptor:  14
# H-Bond Donor:  6
# Rings:  4
# Heavy Atoms:  14

MedChem Properties

QED Drug-Likeness Score:  0.061
Synthetic Accessibility Score:  6.105
Fsp3:  0.657
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.657
MDCK Permeability:  0.0001660637790337205
Pgp-inhibitor:  0.928
Pgp-substrate:  0.995
Human Intestinal Absorption (HIA):  0.927
20% Bioavailability (F20%):  0.503
30% Bioavailability (F30%):  0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.169
Plasma Protein Binding (PPB):  49.77183151245117%
Volume Distribution (VD):  0.491
Pgp-substrate:  22.498193740844727%

ADMET: Metabolism

CYP1A2-inhibitor:  0.006
CYP1A2-substrate:  0.276
CYP2C19-inhibitor:  0.011
CYP2C19-substrate:  0.098
CYP2C9-inhibitor:  0.005
CYP2C9-substrate:  0.019
CYP2D6-inhibitor:  0.003
CYP2D6-substrate:  0.016
CYP3A4-inhibitor:  0.558
CYP3A4-substrate:  0.258

ADMET: Excretion

Clearance (CL):  1.405
Half-life (T1/2):  0.8

ADMET: Toxicity

hERG Blockers:  0.19
Human Hepatotoxicity (H-HT):  0.969
Drug-inuced Liver Injury (DILI):  0.041
AMES Toxicity:  0.024
Rat Oral Acute Toxicity:  0.067
Maximum Recommended Daily Dose:  0.84
Skin Sensitization:  0.541
Carcinogencity:  0.025
Eye Corrosion:  0.003
Eye Irritation:  0.011
Respiratory Toxicity:  0.967

Download Data

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

  Natural Product: NPC241503

Natural Product ID:  NPC241503
Common Name*:   JDAOAPPGBLJFBL-ACPOGQMXSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JDAOAPPGBLJFBL-ACPOGQMXSA-N
Standard InCHI:  InChI=1S/C17H27NO4/c1-6-11(3)13-12(10-18-8-9-19)15(20)17(4,7-2)16(21)14(13)22-5/h10-11,18-19H,6-9H2,1-5H3/b12-10-/t11-,17+/m1/s1
SMILES:  CC[C@@H](C)C1=C(C(=O)[C@@](C)(CC)C(=O)/C/1=CNCCO)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001549] Monoterpenoids
          • [CHEMONTID:0001401] Menthane monoterpenoids

*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
NPO28230 Stemona japonica Species Stemonaceae Eukaryota stems and leaves n.a. n.a. PMID[18163592]
NPO28178 Artemisia tridentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28560 Sarcomelicope glauca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28560 Sarcomelicope glauca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28178 Artemisia tridentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28350 Hypsizigus marmoreus n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29474 Bipolaris victoriae Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23206 Senegalia caffra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28178 Artemisia tridentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28463 Penicillium gilmanii Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28560 Sarcomelicope glauca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27851 Leptothorax muscorum Species Formicidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28108 Stereum princeps Species Stereaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28230 Stemona japonica Species Stemonaceae 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 NPC241503 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 NPC241503 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