Structure

Physi-Chem Properties

Molecular Weight:  234.13
Volume:  261.252
LogP:  1.331
LogD:  1.636
LogS:  -2.849
# Rotatable Bonds:  5
TPSA:  60.69
# H-Bond Aceptor:  3
# H-Bond Donor:  3
# Rings:  0
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.371
Synthetic Accessibility Score:  4.586
Fsp3:  0.429
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
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:  -4.266
MDCK Permeability:  0.00036106130573898554
Pgp-inhibitor:  0.002
Pgp-substrate:  0.002
Human Intestinal Absorption (HIA):  0.947
20% Bioavailability (F20%):  0.602
30% Bioavailability (F30%):  1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.012
Plasma Protein Binding (PPB):  100.64979553222656%
Volume Distribution (VD):  0.631
Pgp-substrate:  2.07377552986145%

ADMET: Metabolism

CYP1A2-inhibitor:  0.178
CYP1A2-substrate:  0.107
CYP2C19-inhibitor:  0.873
CYP2C19-substrate:  0.744
CYP2C9-inhibitor:  0.883
CYP2C9-substrate:  0.988
CYP2D6-inhibitor:  0.202
CYP2D6-substrate:  0.743
CYP3A4-inhibitor:  0.593
CYP3A4-substrate:  0.136

ADMET: Excretion

Clearance (CL):  2.398
Half-life (T1/2):  0.764

ADMET: Toxicity

hERG Blockers:  0.002
Human Hepatotoxicity (H-HT):  0.662
Drug-inuced Liver Injury (DILI):  0.977
AMES Toxicity:  0.617
Rat Oral Acute Toxicity:  0.895
Maximum Recommended Daily Dose:  0.83
Skin Sensitization:  0.918
Carcinogencity:  0.542
Eye Corrosion:  0.009
Eye Irritation:  0.235
Respiratory Toxicity:  0.946

Download Data

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

  Natural Product: NPC177874

Natural Product ID:  NPC177874
Common Name*:   RKOQCMNXJZJWBU-FWTOVJONSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  RKOQCMNXJZJWBU-FWTOVJONSA-N
Standard InCHI:  InChI=1S/C14H18O3/c1-2-3-4-5-7-10-13(16)14(17)11-8-6-9-12-15/h2-3,8,11,13-17H,6,9,12H2,1H3/b3-2+,11-8+
SMILES:  C/C=C/C#CC#CC(C(/C=C/CCCO)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   5807986
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0001334] Fatty alcohols
          • [CHEMONTID:0002951] Long-chain fatty alcohols

*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
NPO14650 Lobelia chinensis Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16741 Codonopsis pilosula Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28802 Pratia nummularia Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30421 Codonopsis tangshen Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14650 Lobelia chinensis Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16741 Codonopsis pilosula Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14959.1 Codonopsis pilosula subsp. tangshen Subspecies Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28802 Pratia nummularia Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO30421 Codonopsis tangshen Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO16741 Codonopsis pilosula Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14650 Lobelia chinensis Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14650 Lobelia chinensis Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16741 Codonopsis pilosula Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14959.1 Codonopsis pilosula subsp. tangshen Subspecies Campanulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14959.1 Codonopsis pilosula subsp. tangshen Subspecies Campanulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28802 Pratia nummularia Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14650 Lobelia chinensis Species Campanulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16741 Codonopsis pilosula Species Campanulaceae 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 NPC177874 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 NPC177874 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