Structure

Physi-Chem Properties

Molecular Weight:  632.25
Volume:  612.427
LogP:  2.752
LogD:  1.263
LogS:  -4.725
# Rotatable Bonds:  10
TPSA:  163.1
# H-Bond Aceptor:  13
# H-Bond Donor:  0
# Rings:  5
# Heavy Atoms:  13

MedChem Properties

QED Drug-Likeness Score:  0.255
Synthetic Accessibility Score:  6.833
Fsp3:  0.656
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:  -5.337
MDCK Permeability:  9.063857578439638e-05
Pgp-inhibitor:  1.0
Pgp-substrate:  0.019
Human Intestinal Absorption (HIA):  0.726
20% Bioavailability (F20%):  0.954
30% Bioavailability (F30%):  0.961

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.229
Plasma Protein Binding (PPB):  56.518157958984375%
Volume Distribution (VD):  1.468
Pgp-substrate:  34.908931732177734%

ADMET: Metabolism

CYP1A2-inhibitor:  0.009
CYP1A2-substrate:  0.05
CYP2C19-inhibitor:  0.065
CYP2C19-substrate:  0.118
CYP2C9-inhibitor:  0.101
CYP2C9-substrate:  0.004
CYP2D6-inhibitor:  0.089
CYP2D6-substrate:  0.063
CYP3A4-inhibitor:  0.76
CYP3A4-substrate:  0.663

ADMET: Excretion

Clearance (CL):  5.749
Half-life (T1/2):  0.705

ADMET: Toxicity

hERG Blockers:  0.006
Human Hepatotoxicity (H-HT):  0.912
Drug-inuced Liver Injury (DILI):  0.959
AMES Toxicity:  0.533
Rat Oral Acute Toxicity:  0.979
Maximum Recommended Daily Dose:  0.539
Skin Sensitization:  0.118
Carcinogencity:  0.364
Eye Corrosion:  0.003
Eye Irritation:  0.022
Respiratory Toxicity:  0.968

Download Data

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

  Natural Product: NPC192436

Natural Product ID:  NPC192436
Common Name*:   JBHDNDUBXWNGRJ-LCJPWZFKSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JBHDNDUBXWNGRJ-LCJPWZFKSA-N
Standard InCHI:  InChI=1S/C32H40O13/c1-15-21-22(40-16(2)33)26(42-18(4)35)30(8)25(19-11-12-39-14-19)43-20(36)13-32(15,30)45-31(9)29(21,7)24(28(5,6)44-31)23(27(37)38-10)41-17(3)34/h11-12,14,21-26H,1,13H2,2-10H3/t21-,22-,23+,24+,25+,26+,29-,30-,31-,32+/m1/s1
SMILES:  C=C1[C@@H]2[C@H]([C@@H]([C@@]3(C)[C@H](c4ccoc4)OC(=O)C[C@]13O[C@]1(C)[C@@]2(C)[C@@H]([C@@H](C(=O)OC)OC(=O)C)C(C)(C)O1)OC(=O)C)OC(=O)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   102156440
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0002995] Pentacarboxylic acids and derivatives

*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
NPO12306 Gonospermum canariense Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[12880311]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota Seeds n.a. n.a. PMID[19435339]
NPO26904 Salvia hypargeia Species Lamiaceae Eukaryota roots n.a. n.a. PMID[3236010]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO17039 Pharbitis nil Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26904 Salvia hypargeia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24539 Veronica cupressoides Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12306 Gonospermum canariense Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12277 Dendroctonus pseudotsugae Species Curculionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26137 Aplidium conicum Species Polyclinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26082 Flindersia laevicarpa Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25795 Neurolaena macrophylla Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26784 Olea capensis Species Oleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26609 Nauclea gambir Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26928 Zanthoxylum capense Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26861 Epinetrum cordifolium n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO26729 Aster indicus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26167 Strychnos cocculoides Species Loganiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26974 Morella cerifera Species Myricaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26728 Calycanthus chinensis Species Calycanthaceae 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 NPC192436 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 NPC192436 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