Structure

Physi-Chem Properties

Molecular Weight:  358.32
Volume:  418.804
LogP:  7.95
LogD:  5.471
LogS:  -6.642
# Rotatable Bonds:  4
TPSA:  20.23
# H-Bond Aceptor:  1
# H-Bond Donor:  1
# Rings:  3
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.541
Synthetic Accessibility Score:  4.71
Fsp3:  0.84
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -4.556
MDCK Permeability:  1.0592993021418806e-05
Pgp-inhibitor:  0.902
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.008
20% Bioavailability (F20%):  0.996
30% Bioavailability (F30%):  0.719

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.308
Plasma Protein Binding (PPB):  92.01451873779297%
Volume Distribution (VD):  5.247
Pgp-substrate:  2.390928030014038%

ADMET: Metabolism

CYP1A2-inhibitor:  0.318
CYP1A2-substrate:  0.307
CYP2C19-inhibitor:  0.276
CYP2C19-substrate:  0.878
CYP2C9-inhibitor:  0.538
CYP2C9-substrate:  0.416
CYP2D6-inhibitor:  0.513
CYP2D6-substrate:  0.21
CYP3A4-inhibitor:  0.888
CYP3A4-substrate:  0.35

ADMET: Excretion

Clearance (CL):  11.67
Half-life (T1/2):  0.021

ADMET: Toxicity

hERG Blockers:  0.761
Human Hepatotoxicity (H-HT):  0.332
Drug-inuced Liver Injury (DILI):  0.804
AMES Toxicity:  0.024
Rat Oral Acute Toxicity:  0.022
Maximum Recommended Daily Dose:  0.023
Skin Sensitization:  0.97
Carcinogencity:  0.516
Eye Corrosion:  0.938
Eye Irritation:  0.903
Respiratory Toxicity:  0.31

Download Data

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

  Natural Product: NPC55692

Natural Product ID:  NPC55692
Common Name*:   JNYWQVTXIGGOTC-QATDTHCRSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JNYWQVTXIGGOTC-QATDTHCRSA-N
Standard InCHI:  InChI=1S/C25H42O/c1-17(2)8-7-9-18(3)20-12-14-24(5)16-23-21(13-15-25(23,6)26)19(4)10-11-22(20)24/h8,10,18,20-23,26H,7,9,11-16H2,1-6H3/b19-10-/t18-,20-,21+,22-,23-,24+,25+/m0/s1
SMILES:  CC(=CCC[C@H](C)[C@@H]1CC[C@]2(C)C[C@H]3[C@H](CC[C@@]3(C)O)C(=CC[C@@H]12)C)C
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:0000259] Prenol lipids
        • [CHEMONTID:0001552] Sesterterpenoids
          • [CHEMONTID:0002882] Ophiobolane sesterterpenoids

*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
NPO15684 Cochliobolus heterostrophus Species Pleosporaceae Eukaryota n.a. n.a. n.a. PMID[10395513]
NPO15783 Stemona phyllantha Species Stemonaceae Eukaryota n.a. rhizome n.a. PMID[21902195]
NPO15783 Stemona phyllantha Species Stemonaceae Eukaryota n.a. tuberous root n.a. PMID[21902195]
NPO13275 Centaurea scabiosa Species Asteraceae Eukaryota n.a. fruit n.a. PMID[22396124]
NPO2990 Solenostemon scutellarioides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15783 Stemona phyllantha Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12794 Hypericum pseudopetiolatum Species Hypericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15684 Cochliobolus heterostrophus Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2613 Artemisia ordosica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5756 Amanita abrupta Species Amanitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16542 Aloe rupestris Species Xanthorrhoeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5119.2 Pseudomonas chlororaphis subsp. aureofaciens Subspecies Pseudomonadaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO15571 Iphiona pinnatisecta Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11651 Parsonsia heterophylla Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16867 Bursera permollis Species Burseraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13275 Centaurea scabiosa Species Asteraceae 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 NPC55692 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 NPC55692 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