Structure

Physi-Chem Properties

Molecular Weight:  344.09
Volume:  334.655
LogP:  3.041
LogD:  2.683
LogS:  -3.68
# Rotatable Bonds:  4
TPSA:  98.36
# H-Bond Aceptor:  7
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.751
Synthetic Accessibility Score:  2.473
Fsp3:  0.167
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.886
MDCK Permeability:  1.6864447388798e-05
Pgp-inhibitor:  0.043
Pgp-substrate:  0.192
Human Intestinal Absorption (HIA):  0.021
20% Bioavailability (F20%):  0.003
30% Bioavailability (F30%):  0.009

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.012
Plasma Protein Binding (PPB):  89.7825698852539%
Volume Distribution (VD):  0.681
Pgp-substrate:  12.081284523010254%

ADMET: Metabolism

CYP1A2-inhibitor:  0.929
CYP1A2-substrate:  0.954
CYP2C19-inhibitor:  0.52
CYP2C19-substrate:  0.07
CYP2C9-inhibitor:  0.691
CYP2C9-substrate:  0.893
CYP2D6-inhibitor:  0.702
CYP2D6-substrate:  0.896
CYP3A4-inhibitor:  0.649
CYP3A4-substrate:  0.195

ADMET: Excretion

Clearance (CL):  4.956
Half-life (T1/2):  0.757

ADMET: Toxicity

hERG Blockers:  0.09
Human Hepatotoxicity (H-HT):  0.158
Drug-inuced Liver Injury (DILI):  0.402
AMES Toxicity:  0.152
Rat Oral Acute Toxicity:  0.263
Maximum Recommended Daily Dose:  0.517
Skin Sensitization:  0.901
Carcinogencity:  0.034
Eye Corrosion:  0.011
Eye Irritation:  0.822
Respiratory Toxicity:  0.328

Download Data

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

  Natural Product: NPC196171

Natural Product ID:  NPC196171
Common Name*:   KIIFCUFZMOWDHR-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KIIFCUFZMOWDHR-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C18H16O7/c1-22-10-6-12(19)16-14(7-10)25-8-11(17(16)21)9-4-13(20)18(24-3)15(5-9)23-2/h4-8,19-20H,1-3H3
SMILES:  COc1cc(c2c(c1)occ(c1cc(c(c(c1)OC)OC)O)c2=O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10472650
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002506] Isoflavonoids
        • [CHEMONTID:0002586] O-methylated isoflavonoids
          • [CHEMONTID:0002606] 4'-O-methylated isoflavonoids
            • [CHEMONTID:0003651] 3'-hydroxy,4'-methoxyisoflavonoids

*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
NPO28905 Biancaea decapetala Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[27966950]
NPO12485 Ceiba pentandra Species Malvaceae Eukaryota n.a. n.a. n.a. PMID[8133294]
NPO12485 Ceiba pentandra Species Malvaceae Eukaryota n.a. n.a. n.a. PMID[9461647]
NPO12485 Ceiba pentandra Species Malvaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28905 Biancaea decapetala Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16469 Plectranthus forsteri Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28905 Biancaea decapetala Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12832 Uvaria scheffleri Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12485 Ceiba pentandra Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16122 Luma chequen Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12288 Zanthoxylum arborescens Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16392 Grewia rothii Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15585 Blighia laurentii Species Sapindaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15906 Erioderma tomentosum Species Pannariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14299 Blandfordia punicea Species Blandfordiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17116 Mallotus discolor Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16556 Solanum chenopodioides Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27163 Chondrilla nucula Species Chondrillidae 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 NPC196171 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 NPC196171 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