Natural Product: NPC579874

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

  Calculated Properties

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

  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 Organism Name 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

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

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 toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC579874 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
1.0 High Similarity NPC603140
0.766 Intermediate Similarity NPC36607
0.732 Intermediate Similarity NPC471623
0.732 Intermediate Similarity NPC208553
0.732 Intermediate Similarity NPC181964
0.732 Intermediate Similarity NPC307628
0.732 Intermediate Similarity NPC473400
0.732 Intermediate Similarity NPC603171
0.7245 Intermediate Similarity NPC33372
0.7245 Intermediate Similarity NPC67246
0.7245 Intermediate Similarity NPC324251
0.7245 Intermediate Similarity NPC206211
0.7172 Intermediate Similarity NPC487360
0.7172 Intermediate Similarity NPC479182
0.7172 Intermediate Similarity NPC479180
0.7172 Intermediate Similarity NPC471629
0.7172 Intermediate Similarity NPC306001
0.7126 Intermediate Similarity NPC155329
0.7126 Intermediate Similarity NPC114357
0.703 Intermediate Similarity NPC275170
0.6961 Remote Similarity NPC486061
0.6961 Remote Similarity NPC486060
0.6893 Remote Similarity NPC487361
0.6863 Remote Similarity NPC471606
0.6629 Remote Similarity NPC605573
0.6064 Remote Similarity NPC259144
0.6064 Remote Similarity NPC219419
0.6 Remote Similarity NPC453583
0.6 Remote Similarity NPC453588
0.5962 Remote Similarity NPC473300
0.5905 Remote Similarity NPC321072
0.5905 Remote Similarity NPC215892
0.5905 Remote Similarity NPC242662
0.5905 Remote Similarity NPC102167
0.5905 Remote Similarity NPC488127
0.5888 Remote Similarity NPC478329
0.5849 Remote Similarity NPC317882
0.5849 Remote Similarity NPC191193
0.5806 Remote Similarity NPC197037
0.5806 Remote Similarity NPC229545
0.5806 Remote Similarity NPC248265
0.5806 Remote Similarity NPC134685
0.5794 Remote Similarity NPC471754
0.5794 Remote Similarity NPC479183
0.5794 Remote Similarity NPC479181
0.5755 Remote Similarity NPC327699
0.5638 Remote Similarity NPC91730
0.5607 Remote Similarity NPC473490
0.5579 Remote Similarity NPC217918
0.5378 Remote Similarity NPC479184
0.5345 Remote Similarity NPC116862
0.5254 Remote Similarity NPC472391
0.521 Remote Similarity NPC479185
0.5204 Remote Similarity NPC11588
0.5155 Remote Similarity NPC609501

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC579874 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.732 Intermediate Similarity NPD8485 Phase 4
0.6733 Remote Similarity NPD8368 Phase 2
0.6538 Remote Similarity NPD8486 Phase 1
0.614 Remote Similarity NPD8462 Phase 2
0.6058 Remote Similarity NPD8424 Phase 3
0.5905 Remote Similarity NPD8360 Approved
0.5905 Remote Similarity NPD8361 Phase 4
0.5556 Remote Similarity NPD8435 Phase 4
0.5089 Remote Similarity NPD8407 Phase 2

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by 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