Structure

Physi-Chem Properties

Molecular Weight:  764.46
Volume:  778.555
LogP:  5.423
LogD:  3.43
LogS:  -4.557
# Rotatable Bonds:  34
TPSA:  224.81
# H-Bond Aceptor:  15
# H-Bond Donor:  5
# Rings:  1
# Heavy Atoms:  15

MedChem Properties

QED Drug-Likeness Score:  0.04
Synthetic Accessibility Score:  4.769
Fsp3:  0.895
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.103
MDCK Permeability:  4.496592373470776e-05
Pgp-inhibitor:  0.785
Pgp-substrate:  0.996
Human Intestinal Absorption (HIA):  0.148
20% Bioavailability (F20%):  0.039
30% Bioavailability (F30%):  0.997

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.017
Plasma Protein Binding (PPB):  95.43854522705078%
Volume Distribution (VD):  1.015
Pgp-substrate:  4.890886306762695%

ADMET: Metabolism

CYP1A2-inhibitor:  0.012
CYP1A2-substrate:  0.033
CYP2C19-inhibitor:  0.032
CYP2C19-substrate:  0.048
CYP2C9-inhibitor:  0.309
CYP2C9-substrate:  0.315
CYP2D6-inhibitor:  0.679
CYP2D6-substrate:  0.011
CYP3A4-inhibitor:  0.836
CYP3A4-substrate:  0.074

ADMET: Excretion

Clearance (CL):  4.419
Half-life (T1/2):  0.89

ADMET: Toxicity

hERG Blockers:  0.652
Human Hepatotoxicity (H-HT):  0.761
Drug-inuced Liver Injury (DILI):  0.455
AMES Toxicity:  0.028
Rat Oral Acute Toxicity:  0.022
Maximum Recommended Daily Dose:  0.004
Skin Sensitization:  0.769
Carcinogencity:  0.031
Eye Corrosion:  0.003
Eye Irritation:  0.01
Respiratory Toxicity:  0.021

Download Data

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

  Natural Product: NPC38053

Natural Product ID:  NPC38053
Common Name*:   KXOHHVVQXCNKBM-QDOWTLGRSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KXOHHVVQXCNKBM-QDOWTLGRSA-N
Standard InCHI:  InChI=1S/C38H68O15/c1-5-9-13-14-18-22-32(45)53-37-36(52-31(44)21-17-12-8-4)35(51-30(43)20-16-11-7-3)28(25-48-29(42)19-15-10-6-2)50-38(37)49-24-27(41)34(47)33(46)26(40)23-39/h26-28,33-41,46-47H,5-25H2,1-4H3/t26-,27-,28-,33-,34-,35-,36+,37+,38-/m1/s1
SMILES:  CCCCCCCC(=O)O[C@H]1[C@H]([C@@H]([C@@H](COC(=O)CCCCC)O[C@H]1OC[C@H]([C@H]([C@@H]([C@@H](CO)O)O)O)O)OC(=O)CCCCC)OC(=O)CCCCC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   71474139
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0003918] Saccharolipids

*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
NPO6006 Arundina graminifolia Species Orchidaceae Eukaryota n.a. n.a. n.a. PMID[24063582]
NPO14895 Eucalyptus wandoo Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14895 Eucalyptus wandoo Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14895 Eucalyptus wandoo Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7343 Vernonia melleri Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16094 Stemphylium lycopersici Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15104 Russula alutacea Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9654 Callitriche hamulata Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14999 Allium wallichii Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14895 Eucalyptus wandoo Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11850 Lonchocarpus sericeus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12075 Guettarda angelica Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6006 Arundina graminifolia Species Orchidaceae 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 NPC38053 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 NPC38053 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