Structure

Physi-Chem Properties

Molecular Weight:  218.17
Volume:  251.764
LogP:  4.044
LogD:  3.662
LogS:  -4.247
# Rotatable Bonds:  1
TPSA:  17.07
# H-Bond Aceptor:  1
# H-Bond Donor:  0
# Rings:  2
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.61
Synthetic Accessibility Score:  4.158
Fsp3:  0.667
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -4.643
MDCK Permeability:  1.6250793123617768e-05
Pgp-inhibitor:  0.94
Pgp-substrate:  0.007
Human Intestinal Absorption (HIA):  0.007
20% Bioavailability (F20%):  0.803
30% Bioavailability (F30%):  0.004

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.843
Plasma Protein Binding (PPB):  90.00040435791016%
Volume Distribution (VD):  2.435
Pgp-substrate:  4.630887031555176%

ADMET: Metabolism

CYP1A2-inhibitor:  0.128
CYP1A2-substrate:  0.529
CYP2C19-inhibitor:  0.15
CYP2C19-substrate:  0.809
CYP2C9-inhibitor:  0.14
CYP2C9-substrate:  0.652
CYP2D6-inhibitor:  0.007
CYP2D6-substrate:  0.681
CYP3A4-inhibitor:  0.308
CYP3A4-substrate:  0.392

ADMET: Excretion

Clearance (CL):  10.787
Half-life (T1/2):  0.392

ADMET: Toxicity

hERG Blockers:  0.014
Human Hepatotoxicity (H-HT):  0.333
Drug-inuced Liver Injury (DILI):  0.736
AMES Toxicity:  0.059
Rat Oral Acute Toxicity:  0.078
Maximum Recommended Daily Dose:  0.499
Skin Sensitization:  0.596
Carcinogencity:  0.674
Eye Corrosion:  0.88
Eye Irritation:  0.949
Respiratory Toxicity:  0.888

Download Data

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

  Natural Product: NPC188783

Natural Product ID:  NPC188783
Common Name*:   CESATEXQMONATC-CYZMBNFOSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  CESATEXQMONATC-CYZMBNFOSA-N
Standard InCHI:  InChI=1S/C15H22O/c1-9(2)12-6-5-10(3)13-8-15(16)11(4)14(13)7-12/h10,12-13H,1,5-8H2,2-4H3/t10-,12+,13+/m0/s1
SMILES:  C=C(C)[C@@H]1CC[C@H](C)[C@H]2CC(=O)C(=C2C1)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   101375349
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0002874] Guaianes

*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
NPO29532 Vigna angularis Species Fabaceae Eukaryota Leaf Diffusate n.a. n.a. Database[FooDB]
NPO29532 Vigna angularis Species Fabaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO29532 Vigna angularis Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO29532 Vigna angularis Species Fabaceae Eukaryota n.a. n.a. Database[FooDB]
NPO29532 Vigna angularis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO29532 Vigna angularis Species Fabaceae Eukaryota Seeds n.a. Database[Phenol-Explorer]
NPO29532 Vigna angularis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3998 Neolitsea pulchella Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17495 Isodon amethystoides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO29532 Vigna angularis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10542 Liparis keitaoensis Species Liparidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14335 Ophiorrhiza kuroiwae Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1787 Agathis lanceolata Species Araucariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13009 Laurencia saitoi Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3998 Neolitsea pulchella Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29532 Vigna angularis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3426 Pseudocyphellaria hirsuta Species Lobariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17495 Isodon amethystoides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10765 Dracaena concinna Species Asparagaceae 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 NPC188783 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 NPC188783 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