Structure

Physi-Chem Properties

Molecular Weight:  324.3
Volume:  384.08
LogP:  7.075
LogD:  4.556
LogS:  -5.871
# Rotatable Bonds:  18
TPSA:  26.3
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  0
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.209
Synthetic Accessibility Score:  2.351
Fsp3:  0.857
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.738
MDCK Permeability:  1.4516578630718868e-05
Pgp-inhibitor:  0.019
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.007
20% Bioavailability (F20%):  0.912
30% Bioavailability (F30%):  0.982

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.321
Plasma Protein Binding (PPB):  97.31429290771484%
Volume Distribution (VD):  1.072
Pgp-substrate:  1.633390188217163%

ADMET: Metabolism

CYP1A2-inhibitor:  0.258
CYP1A2-substrate:  0.198
CYP2C19-inhibitor:  0.351
CYP2C19-substrate:  0.056
CYP2C9-inhibitor:  0.238
CYP2C9-substrate:  0.912
CYP2D6-inhibitor:  0.024
CYP2D6-substrate:  0.127
CYP3A4-inhibitor:  0.369
CYP3A4-substrate:  0.048

ADMET: Excretion

Clearance (CL):  5.514
Half-life (T1/2):  0.274

ADMET: Toxicity

hERG Blockers:  0.132
Human Hepatotoxicity (H-HT):  0.025
Drug-inuced Liver Injury (DILI):  0.038
AMES Toxicity:  0.019
Rat Oral Acute Toxicity:  0.018
Maximum Recommended Daily Dose:  0.028
Skin Sensitization:  0.936
Carcinogencity:  0.066
Eye Corrosion:  0.916
Eye Irritation:  0.951
Respiratory Toxicity:  0.778

Download Data

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

  Natural Product: NPC281639

Natural Product ID:  NPC281639
Common Name*:   UTSWKGVXNYKHFW-ISLYRVAYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  UTSWKGVXNYKHFW-ISLYRVAYSA-N
Standard InCHI:  InChI=1S/C21H40O2/c1-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-21(22)19-20-23-2/h17-18H,3-16,19-20H2,1-2H3/b18-17+
SMILES:  CCCCCCCCCCCCCCC/C=C/C(=O)CCOC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   15458653
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0003131] Alpha,beta-unsaturated carbonyl compounds
            • [CHEMONTID:0003672] Alpha,beta-unsaturated ketones
              • [CHEMONTID:0001363] Enones

*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
NPO24496 Gymnopetalum integrifolium Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22683 Pteris bella Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24576 Genista lydia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23300 Trichilia heudelotii Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23426 Andromeda polifolia Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13008 Methanobrevibacter arboriphilus Species Methanobacteriaceae Archaea n.a. n.a. n.a. Database[UNPD]
NPO25120 Vincetoxicum forrestii Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3711 Acalypha australis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24496 Gymnopetalum integrifolium Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24139 Calamus strictus Species Sparidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22683 Pteris bella Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24014 Scapania bolanderi Species Scapaniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24184 Argyrochosma pilifera Species Pteridaceae 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 NPC281639 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 NPC281639 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