Structure

Physi-Chem Properties

Molecular Weight:  394.04
Volume:  353.448
LogP:  2.454
LogD:  1.113
LogS:  -2.921
# Rotatable Bonds:  3
TPSA:  164.75
# H-Bond Aceptor:  9
# H-Bond Donor:  6
# Rings:  3
# Heavy Atoms:  10

MedChem Properties

QED Drug-Likeness Score:  0.169
Synthetic Accessibility Score:  3.266
Fsp3:  0.059
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.051
MDCK Permeability:  6.771258540538838e-06
Pgp-inhibitor:  0.003
Pgp-substrate:  0.145
Human Intestinal Absorption (HIA):  0.69
20% Bioavailability (F20%):  0.999
30% Bioavailability (F30%):  0.993

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.001
Plasma Protein Binding (PPB):  97.55963134765625%
Volume Distribution (VD):  0.333
Pgp-substrate:  2.9469692707061768%

ADMET: Metabolism

CYP1A2-inhibitor:  0.788
CYP1A2-substrate:  0.324
CYP2C19-inhibitor:  0.025
CYP2C19-substrate:  0.045
CYP2C9-inhibitor:  0.364
CYP2C9-substrate:  0.31
CYP2D6-inhibitor:  0.04
CYP2D6-substrate:  0.141
CYP3A4-inhibitor:  0.058
CYP3A4-substrate:  0.018

ADMET: Excretion

Clearance (CL):  4.331
Half-life (T1/2):  0.74

ADMET: Toxicity

hERG Blockers:  0.028
Human Hepatotoxicity (H-HT):  0.791
Drug-inuced Liver Injury (DILI):  0.224
AMES Toxicity:  0.176
Rat Oral Acute Toxicity:  0.022
Maximum Recommended Daily Dose:  0.95
Skin Sensitization:  0.925
Carcinogencity:  0.743
Eye Corrosion:  0.021
Eye Irritation:  0.911
Respiratory Toxicity:  0.79

Download Data

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

  Natural Product: NPC183649

Natural Product ID:  NPC183649
Common Name*:   IUIHVMPMIYIDLY-SSDOTTSWSA-M
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  IUIHVMPMIYIDLY-SSDOTTSWSA-M
Standard InCHI:  InChI=1S/C17H14O9S/c1-7(26-27(23,24)25)2-8-3-10-14(12(19)4-8)17(22)15-11(16(10)21)5-9(18)6-13(15)20/h3-7,18-20H,2H2,1H3,(H,23,24,25)/p-1/t7-/m1/s1
SMILES:  C[C@H](Cc1cc2c(c(c1)O)C(=O)c1c(cc(cc1O)[O-])C2=O)OS(=O)(=O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   76764019
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000018] Anthracenes
        • [CHEMONTID:0000151] Anthraquinones
          • [CHEMONTID:0001598] Hydroxyanthraquinones

*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
NPO13814 Tupidanthus calyptratus Species Araliaceae Eukaryota n.a. n.a. n.a. PMID[11421737]
NPO13914 Fraxinus ornus Species Oleaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13914 Fraxinus ornus Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18207 Radermachera sinica Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13914 Fraxinus ornus Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11691 Limnothrix rosea Species Pseudanabaenaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO13088 Vicia pseudo-orobus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2159 Helipterum splendidum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13814 Tupidanthus calyptratus Species Araliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13914 Fraxinus ornus Species Oleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2586 Alnus rubra Species Betulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14838 Myriocephalus stuartii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4309 Carapa procera Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5467 Helenium campestre Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9689 Pertusaria flavicans Species Pertusariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14510 Streptomyces acidiscabies Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO25557 Alternaria porri Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1488 Aphis spiraecola Species Aphididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18207 Radermachera sinica Species Bignoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14006 Halostachys caspica Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9076 Tiliacora dinklagei Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22644 Helichrysum argenteum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8371 Fagara rhoifolia n.a. n.a. n.a. 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 NPC183649 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 NPC183649 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