Structure

Physi-Chem Properties

Molecular Weight:  400.26
Volume:  437.265
LogP:  4.942
LogD:  3.99
LogS:  -4.316
# Rotatable Bonds:  7
TPSA:  70.67
# H-Bond Aceptor:  4
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.341
Synthetic Accessibility Score:  4.472
Fsp3:  0.64
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:  -4.872
MDCK Permeability:  1.0061774446512572e-05
Pgp-inhibitor:  0.085
Pgp-substrate:  0.004
Human Intestinal Absorption (HIA):  0.006
20% Bioavailability (F20%):  0.721
30% Bioavailability (F30%):  0.006

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.126
Plasma Protein Binding (PPB):  94.84610748291016%
Volume Distribution (VD):  3.622
Pgp-substrate:  2.0967910289764404%

ADMET: Metabolism

CYP1A2-inhibitor:  0.08
CYP1A2-substrate:  0.5
CYP2C19-inhibitor:  0.276
CYP2C19-substrate:  0.6
CYP2C9-inhibitor:  0.391
CYP2C9-substrate:  0.937
CYP2D6-inhibitor:  0.346
CYP2D6-substrate:  0.774
CYP3A4-inhibitor:  0.496
CYP3A4-substrate:  0.283

ADMET: Excretion

Clearance (CL):  10.141
Half-life (T1/2):  0.644

ADMET: Toxicity

hERG Blockers:  0.009
Human Hepatotoxicity (H-HT):  0.327
Drug-inuced Liver Injury (DILI):  0.15
AMES Toxicity:  0.033
Rat Oral Acute Toxicity:  0.049
Maximum Recommended Daily Dose:  0.754
Skin Sensitization:  0.203
Carcinogencity:  0.887
Eye Corrosion:  0.003
Eye Irritation:  0.026
Respiratory Toxicity:  0.936

Download Data

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

  Natural Product: NPC123057

Natural Product ID:  NPC123057
Common Name*:   LJXILPIFWYMKCJ-HSACWFNSSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  LJXILPIFWYMKCJ-HSACWFNSSA-N
Standard InCHI:  InChI=1S/C25H36O4/c1-17-6-11-22-24(2,3)12-5-13-25(22,4)20(17)9-7-18(15-26)8-10-21-19(16-27)14-23(28)29-21/h8,14-15,21-22,27H,5-7,9-13,16H2,1-4H3/b18-8+/t21-,22+,25-/m1/s1
SMILES:  CC1=C(CC/C(=CC[C@@H]2C(=CC(=O)O2)CO)/C=O)[C@@]2(C)CCCC(C)(C)[C@@H]2CC1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10386287
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones
          • [CHEMONTID:0001538] Diterpene lactones

*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
NPO8737 Saussurea muliensis Species Asteraceae Eukaryota flowers and roots Muli Autonomous County of Sichuan, China 2005-AUG PMID[18419156]
NPO3770 Drosera rotundifolia Species Droseraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9247 Bupleurum smithii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9626 Aconitum finetianum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9247 Bupleurum smithii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3770 Drosera rotundifolia Species Droseraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11920 Geraea canescens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9626 Aconitum finetianum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9626 Aconitum finetianum Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9247 Bupleurum smithii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3770 Drosera rotundifolia Species Droseraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8737 Saussurea muliensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9247 Bupleurum smithii Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11920 Geraea canescens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9626 Aconitum finetianum Species Ranunculaceae 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 NPC123057 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 NPC123057 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