Structure

Physi-Chem Properties

Molecular Weight:  606.27
Volume:  573.854
LogP:  2.228
LogD:  1.17
LogS:  -4.117
# Rotatable Bonds:  3
TPSA:  170.58
# H-Bond Aceptor:  12
# H-Bond Donor:  3
# Rings:  8
# Heavy Atoms:  12

MedChem Properties

QED Drug-Likeness Score:  0.227
Synthetic Accessibility Score:  6.996
Fsp3:  0.903
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:  -5.379
MDCK Permeability:  0.00013642580597661436
Pgp-inhibitor:  0.986
Pgp-substrate:  0.996
Human Intestinal Absorption (HIA):  0.273
20% Bioavailability (F20%):  0.037
30% Bioavailability (F30%):  0.991

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.148
Plasma Protein Binding (PPB):  28.888137817382812%
Volume Distribution (VD):  0.634
Pgp-substrate:  45.80375671386719%

ADMET: Metabolism

CYP1A2-inhibitor:  0.003
CYP1A2-substrate:  0.694
CYP2C19-inhibitor:  0.004
CYP2C19-substrate:  0.289
CYP2C9-inhibitor:  0.001
CYP2C9-substrate:  0.005
CYP2D6-inhibitor:  0.017
CYP2D6-substrate:  0.088
CYP3A4-inhibitor:  0.583
CYP3A4-substrate:  0.215

ADMET: Excretion

Clearance (CL):  6.25
Half-life (T1/2):  0.205

ADMET: Toxicity

hERG Blockers:  0.519
Human Hepatotoxicity (H-HT):  0.837
Drug-inuced Liver Injury (DILI):  0.386
AMES Toxicity:  0.041
Rat Oral Acute Toxicity:  0.95
Maximum Recommended Daily Dose:  0.9
Skin Sensitization:  0.318
Carcinogencity:  0.785
Eye Corrosion:  0.004
Eye Irritation:  0.009
Respiratory Toxicity:  0.989

Download Data

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

  Natural Product: NPC66822

Natural Product ID:  NPC66822
Common Name*:   QNXUDBSKPLAINI-WBURZMOZSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  QNXUDBSKPLAINI-WBURZMOZSA-N
Standard InCHI:  InChI=1S/C31H42O12/c1-12-14-9-17(33)27(5)16-8-7-15-26(3,4)41-22-19(34)24(35)43-30(15,22)11-29(16,37)10-18(38-13(2)32)31(14,27)40-20(12)21-23-28(6,42-23)25(36)39-21/h12,14-23,33-34,37H,7-11H2,1-6H3/t12-,14+,15-,16-,17-,18-,19+,20-,21+,22+,23-,27-,28-,29-,30+,31+/m0/s1
SMILES:  C[C@H]1[C@H]2C[C@@H]([C@]3(C)[C@@H]4CC[C@H]5C(C)(C)O[C@@H]6[C@H](C(=O)O[C@]56C[C@]4(C[C@@H]([C@]23O[C@@H]1[C@@H]1[C@H]2[C@@](C)(C(=O)O1)O2)OC(=O)C)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   70697891
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0001986] Tricarboxylic 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
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. DOI[10.1002/cjoc.20010190319]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. DOI[10.1016/j.tet.2008.10.079]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. PMID[11395273]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. stem n.a. PMID[18536373]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota aerial parts Erlang Mountain area of Sichuan Province, China 2007-SEP PMID[19413342]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. PMID[20681569]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO7374 Seseli montanum Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7850 Schisandra propinqua Species Schisandraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11167 Prunus ssiori Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9834 Veronica austriaca Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6903 Lecanora straminea Species Lecanoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7128 Cynthia savignyi 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 NPC66822 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 NPC66822 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