Structure

Physi-Chem Properties

Molecular Weight:  590.27
Volume:  565.063
LogP:  3.219
LogD:  2.051
LogS:  -4.607
# Rotatable Bonds:  3
TPSA:  150.35
# H-Bond Aceptor:  11
# H-Bond Donor:  2
# Rings:  8
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.274
Synthetic Accessibility Score:  6.861
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:  -5.316
MDCK Permeability:  0.00010064752132166177
Pgp-inhibitor:  0.988
Pgp-substrate:  0.979
Human Intestinal Absorption (HIA):  0.037
20% Bioavailability (F20%):  0.025
30% Bioavailability (F30%):  0.986

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.225
Plasma Protein Binding (PPB):  31.335651397705078%
Volume Distribution (VD):  0.78
Pgp-substrate:  43.13071823120117%

ADMET: Metabolism

CYP1A2-inhibitor:  0.003
CYP1A2-substrate:  0.357
CYP2C19-inhibitor:  0.005
CYP2C19-substrate:  0.313
CYP2C9-inhibitor:  0.002
CYP2C9-substrate:  0.005
CYP2D6-inhibitor:  0.017
CYP2D6-substrate:  0.082
CYP3A4-inhibitor:  0.737
CYP3A4-substrate:  0.314

ADMET: Excretion

Clearance (CL):  7.893
Half-life (T1/2):  0.42

ADMET: Toxicity

hERG Blockers:  0.751
Human Hepatotoxicity (H-HT):  0.904
Drug-inuced Liver Injury (DILI):  0.465
AMES Toxicity:  0.087
Rat Oral Acute Toxicity:  0.953
Maximum Recommended Daily Dose:  0.939
Skin Sensitization:  0.491
Carcinogencity:  0.653
Eye Corrosion:  0.03
Eye Irritation:  0.011
Respiratory Toxicity:  0.988

Download Data

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

  Natural Product: NPC89064

Natural Product ID:  NPC89064
Common Name*:   PTCNJQBVNOSCRK-PPXZIMAMSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  PTCNJQBVNOSCRK-PPXZIMAMSA-N
Standard InCHI:  InChI=1S/C31H42O11/c1-13-15-9-18(33)27(5)17-8-7-16-26(3,4)39-19-10-21(34)40-30(16,19)12-29(17,36)11-20(37-14(2)32)31(15,27)41-22(13)23-24-28(6,42-24)25(35)38-23/h13,15-20,22-24,33,36H,7-12H2,1-6H3/t13-,15+,16-,17-,18-,19+,20-,22-,23+,24-,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]6CC(=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
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
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]
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]
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]

☑ 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 NPC89064 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 NPC89064 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