Structure

Physi-Chem Properties

Molecular Weight:  310.21
Volume:  344.499
LogP:  4.387
LogD:  3.243
LogS:  -4.389
# Rotatable Bonds:  15
TPSA:  60.44
# H-Bond Aceptor:  4
# H-Bond Donor:  0
# Rings:  0
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.16
Synthetic Accessibility Score:  2.938
Fsp3:  0.722
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  2
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.688
MDCK Permeability:  2.6623627491062507e-05
Pgp-inhibitor:  0.964
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.01
20% Bioavailability (F20%):  0.927
30% Bioavailability (F30%):  0.928

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.972
Plasma Protein Binding (PPB):  90.22374725341797%
Volume Distribution (VD):  0.521
Pgp-substrate:  4.84437370300293%

ADMET: Metabolism

CYP1A2-inhibitor:  0.786
CYP1A2-substrate:  0.801
CYP2C19-inhibitor:  0.759
CYP2C19-substrate:  0.622
CYP2C9-inhibitor:  0.693
CYP2C9-substrate:  0.895
CYP2D6-inhibitor:  0.04
CYP2D6-substrate:  0.115
CYP3A4-inhibitor:  0.898
CYP3A4-substrate:  0.199

ADMET: Excretion

Clearance (CL):  4.011
Half-life (T1/2):  0.301

ADMET: Toxicity

hERG Blockers:  0.025
Human Hepatotoxicity (H-HT):  0.138
Drug-inuced Liver Injury (DILI):  0.091
AMES Toxicity:  0.14
Rat Oral Acute Toxicity:  0.091
Maximum Recommended Daily Dose:  0.028
Skin Sensitization:  0.941
Carcinogencity:  0.394
Eye Corrosion:  0.926
Eye Irritation:  0.823
Respiratory Toxicity:  0.739

Download Data

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

  Natural Product: NPC2354

Natural Product ID:  NPC2354
Common Name*:   VRUFZWKTAKCFGU-FYPAKXHLSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  VRUFZWKTAKCFGU-FYPAKXHLSA-N
Standard InCHI:  InChI=1S/C18H30O4/c1-4-5-6-7-8-9-10-11-12-13-14-16(18(21)22-3)17(20)15(2)19/h4,14,17,20H,1,5-13H2,2-3H3/b16-14+/t17-/m1/s1
SMILES:  C=CCCCCCCCCC/C=C([C@@H](C(=O)C)O)/C(=O)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: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
NPO2324 Phoma herbarum Species Didymellaceae Eukaryota n.a. n.a. n.a. PMID[12713403]
NPO16241 Eucalyptus perriniana Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[23980409]
NPO16722 Tolypothrix nodosa Species Tolypothrichaceae Bacteria n.a. n.a. n.a. PMID[8792625]
NPO16722 Tolypothrix nodosa Species Tolypothrichaceae Bacteria n.a. n.a. n.a. PMID[9748382]
NPO10282 Solenostoma triste Species Solenostomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16722 Tolypothrix nodosa Species Tolypothrichaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO2324 Phoma herbarum Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16587 Actinodaphne longifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15419 Tunica prolifera n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO17084 Marsilea quadrifolia Species Marsileaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15935 Pinus parviflora Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16241 Eucalyptus perriniana Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13829 Cryptocarya angulata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10869 Cota saguramica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17389 Papilio xuthus Species Papilionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17015 Plantago hookeriana Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17537 Anthotroche blackii Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14831 Mastophora hutchinsoni Species Corallinaceae 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 NPC2354 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 NPC2354 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