Structure

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Physi-Chem Properties

Molecular Weight:  334.29
Volume:  396.103
LogP:  5.037
LogD:  4.076
LogS:  -2.795
# Rotatable Bonds:  17
TPSA:  37.3
# H-Bond Aceptor:  2
# H-Bond Donor:  1
# Rings:  0
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.225
Synthetic Accessibility Score:  2.558
Fsp3:  0.682
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:  -5.16
MDCK Permeability:  8.786553371464834e-05
Pgp-inhibitor:  0.0
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.031
20% Bioavailability (F20%):  1.0
30% Bioavailability (F30%):  1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.005
Plasma Protein Binding (PPB):  99.92537689208984%
Volume Distribution (VD):  1.369
Pgp-substrate:  0.3413877785205841%

ADMET: Metabolism

CYP1A2-inhibitor:  0.241
CYP1A2-substrate:  0.387
CYP2C19-inhibitor:  0.24
CYP2C19-substrate:  0.075
CYP2C9-inhibitor:  0.267
CYP2C9-substrate:  0.993
CYP2D6-inhibitor:  0.169
CYP2D6-substrate:  0.92
CYP3A4-inhibitor:  0.25
CYP3A4-substrate:  0.037

ADMET: Excretion

Clearance (CL):  2.955
Half-life (T1/2):  0.877

ADMET: Toxicity

hERG Blockers:  0.038
Human Hepatotoxicity (H-HT):  0.306
Drug-inuced Liver Injury (DILI):  0.016
AMES Toxicity:  0.462
Rat Oral Acute Toxicity:  0.013
Maximum Recommended Daily Dose:  0.203
Skin Sensitization:  0.958
Carcinogencity:  0.408
Eye Corrosion:  0.365
Eye Irritation:  0.554
Respiratory Toxicity:  0.874

Download Data

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

  Natural Product: NPC25417

Natural Product ID:  NPC25417
Common Name*:   (13Z,16Z,19Z)-Docosa-13,16,19-Trienoic Acid
IUPAC Name:   (13Z,16Z,19Z)-docosa-13,16,19-trienoic acid
Synonyms:  
Standard InCHIKey:  WBBQTNCISCKUMU-PDBXOOCHSA-N
Standard InCHI:  InChI=1S/C22H38O2/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22(23)24/h3-4,6-7,9-10H,2,5,8,11-21H2,1H3,(H,23,24)/b4-3-,7-6-,10-9-
SMILES:  CC/C=CC/C=CC/C=CCCCCCCCCCCCC(=O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL1514851
PubChem CID:   5312557
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003909] Fatty Acyls
        • [CHEMONTID:0000262] Fatty acids and conjugates
          • [CHEMONTID:0002950] Very long-chain fatty acids

*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

☑ 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

☑ 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

☑ 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 NPC25417 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

  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 NPC25417 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

  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