Structure

Physi-Chem Properties

Molecular Weight:  654.17
Volume:  643.173
LogP:  6.994
LogD:  2.265
LogS:  -2.53
# Rotatable Bonds:  5
TPSA:  208.12
# H-Bond Aceptor:  12
# H-Bond Donor:  6
# Rings:  6
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.118
Synthetic Accessibility Score:  4.513
Fsp3:  0.222
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.142
MDCK Permeability:  5.411401161836693e-06
Pgp-inhibitor:  0.055
Pgp-substrate:  0.716
Human Intestinal Absorption (HIA):  0.606
20% Bioavailability (F20%):  0.005
30% Bioavailability (F30%):  0.983

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.007
Plasma Protein Binding (PPB):  100.544677734375%
Volume Distribution (VD):  0.348
Pgp-substrate:  1.502713918685913%

ADMET: Metabolism

CYP1A2-inhibitor:  0.03
CYP1A2-substrate:  0.877
CYP2C19-inhibitor:  0.038
CYP2C19-substrate:  0.048
CYP2C9-inhibitor:  0.518
CYP2C9-substrate:  0.033
CYP2D6-inhibitor:  0.001
CYP2D6-substrate:  0.073
CYP3A4-inhibitor:  0.063
CYP3A4-substrate:  0.373

ADMET: Excretion

Clearance (CL):  0.48
Half-life (T1/2):  0.06

ADMET: Toxicity

hERG Blockers:  0.072
Human Hepatotoxicity (H-HT):  0.459
Drug-inuced Liver Injury (DILI):  0.997
AMES Toxicity:  0.609
Rat Oral Acute Toxicity:  0.029
Maximum Recommended Daily Dose:  0.834
Skin Sensitization:  0.505
Carcinogencity:  0.941
Eye Corrosion:  0.003
Eye Irritation:  0.428
Respiratory Toxicity:  0.207

Download Data

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

  Natural Product: NPC189133

Natural Product ID:  NPC189133
Common Name*:   IEVJARSTOGQGJT-LQFQNGICSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  IEVJARSTOGQGJT-LQFQNGICSA-N
Standard InCHI:  InChI=1S/C36H30O12/c1-13-7-9-17-27(29(13)39)31(41)23-15(3)25(33(43)44)21(37)11-19(23)35(17,5)47-48-36(6)18-10-8-14(2)30(40)28(18)32(42)24-16(4)26(34(45)46)22(38)12-20(24)36/h7-12,37-40H,1-6H3,(H,43,44)(H,45,46)/t35-,36-/m1/s1
SMILES:  Cc1ccc2c(c1O)C(=O)c1c(C)c(c(cc1[C@]2(C)OO[C@]1(C)c2ccc(C)c(c2C(=O)c2c(C)c(c(cc12)O)C(=O)O)O)O)C(=O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10326969
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000018] Anthracenes
        • [CHEMONTID:0001911] Anthracenecarboxylic acids and derivatives
          • [CHEMONTID:0002424] Anthracenecarboxylic acids

*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
NPO6984 Brickellia veronicaefolia Species Asteraceae Eukaryota essential oil n.a. n.a. PMID[16933870]
NPO695 Picea sitchensis Species Pinaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO695 Picea sitchensis Species Pinaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12143 Corydalis solida Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8183 Asplenium viviparum Species Aspleniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO254 Coreopsis capillacea Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5089 Abies forrestii Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6814 Pegaeophyton scapiflorum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2531 Daniellia oliveri Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6984 Brickellia veronicaefolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6636 Ophiorrhiza filistipula Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4093 Astragalus stipulosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO695 Picea sitchensis Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1845 Physocarpus opulifolius Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3712 Pedicularis olgae Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12143 Corydalis solida Species Papaveraceae 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 NPC189133 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 NPC189133 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