Structure

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

Download Data

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

  Natural Product: NPC203203

*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

☑ 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
NPT413 Protein Complex Neuronal acetylcholine receptor Rattus norvegicus Kd = 3900000.0 nM PMID[490116]
NPT413 Protein Complex Neuronal acetylcholine receptor Rattus norvegicus Enhancement = 9.0 % PMID[490116]
NPT413 Protein Complex Neuronal acetylcholine receptor Rattus norvegicus Inhibition = 126.0 % PMID[490116]
NPT413 Protein Complex Neuronal acetylcholine receptor Rattus norvegicus Mean enhancement of binding = 6.1 n.a. PMID[490116]

☑ 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 NPC203203 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
0.8485 Intermediate Similarity NPC21157
0.725 Intermediate Similarity NPC167301
0.7 Intermediate Similarity NPC473035
0.6905 Remote Similarity NPC15231
0.6857 Remote Similarity NPC270175
0.6757 Remote Similarity NPC320889
0.6667 Remote Similarity NPC83032
0.6389 Remote Similarity NPC152949
0.6389 Remote Similarity NPC232311
0.6389 Remote Similarity NPC193536
0.6364 Remote Similarity NPC119368
0.6176 Remote Similarity NPC125872
0.6111 Remote Similarity NPC27675
0.6098 Remote Similarity NPC74599
0.6053 Remote Similarity NPC95589
0.5882 Remote Similarity NPC306277
0.5814 Remote Similarity NPC326791
0.5758 Remote Similarity NPC27869
0.5676 Remote Similarity NPC8576

  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 NPC203203 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
0.7143 Intermediate Similarity NPD390 Approved
0.7143 Intermediate Similarity NPD718 Approved
0.6531 Remote Similarity NPD3721 Approved
0.6531 Remote Similarity NPD3722 Approved
0.6389 Remote Similarity NPD8544 Approved
0.6316 Remote Similarity NPD8948 Approved
0.619 Remote Similarity NPD2707 Clinical (unspecified phase)
0.6078 Remote Similarity NPD4839 Approved
0.6053 Remote Similarity NPD401 Approved
0.5909 Remote Similarity NPD2273 Clinical (unspecified phase)
0.5897 Remote Similarity NPD1156 Clinical (unspecified phase)
0.5778 Remote Similarity NPD9227 Discontinued
0.5676 Remote Similarity NPD9013 Clinical (unspecified phase)
0.5676 Remote Similarity NPD9012 Phase 2
0.5652 Remote Similarity NPD2701 Discontinued

  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