Natural Product: NPC606439

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 NPC606439 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 NPC135538
1.0 High Similarity NPC24233
0.8269 Intermediate Similarity NPC147390
0.8269 Intermediate Similarity NPC428
0.7451 Intermediate Similarity NPC314682
0.7308 Intermediate Similarity NPC213206
0.7308 Intermediate Similarity NPC188163
0.7308 Intermediate Similarity NPC328750
0.7222 Intermediate Similarity NPC185838
0.6923 Remote Similarity NPC603603
0.6912 Remote Similarity NPC600872
0.6818 Remote Similarity NPC240841
0.6774 Remote Similarity NPC317272
0.6774 Remote Similarity NPC268503
0.6667 Remote Similarity NPC191376
0.6552 Remote Similarity NPC321505
0.6552 Remote Similarity NPC179825
0.6462 Remote Similarity NPC256012
0.6462 Remote Similarity NPC610965
0.623 Remote Similarity NPC247639
0.623 Remote Similarity NPC25084
0.6119 Remote Similarity NPC480592
0.5932 Remote Similarity NPC609731
0.5857 Remote Similarity NPC610959
0.5789 Remote Similarity NPC601489
0.5789 Remote Similarity NPC604804
0.5753 Remote Similarity NPC311973
0.5753 Remote Similarity NPC286119
0.5753 Remote Similarity NPC239824
0.5753 Remote Similarity NPC600054
0.5753 Remote Similarity NPC601504
0.5479 Remote Similarity NPC290582
0.5479 Remote Similarity NPC217748
0.5479 Remote Similarity NPC182052
0.5479 Remote Similarity NPC271013
0.5479 Remote Similarity NPC42663
0.5479 Remote Similarity NPC15414
0.5467 Remote Similarity NPC254441
0.5467 Remote Similarity NPC601503
0.5439 Remote Similarity NPC34559
0.5405 Remote Similarity NPC279228
0.5325 Remote Similarity NPC181796
0.5325 Remote Similarity NPC290005
0.5325 Remote Similarity NPC54654
0.5325 Remote Similarity NPC7715
0.5325 Remote Similarity NPC328155
0.5325 Remote Similarity NPC222661
0.5325 Remote Similarity NPC285931
0.5323 Remote Similarity NPC103379
0.5312 Remote Similarity NPC276588
0.5312 Remote Similarity NPC127674
0.5312 Remote Similarity NPC278799
0.5263 Remote Similarity NPC185639
0.5263 Remote Similarity NPC251735
0.5263 Remote Similarity NPC49075
0.5263 Remote Similarity NPC223690
0.5263 Remote Similarity NPC9532
0.5263 Remote Similarity NPC599951
0.5246 Remote Similarity NPC474915
0.5238 Remote Similarity NPC151895
0.5231 Remote Similarity NPC104196
0.5231 Remote Similarity NPC27887
0.5195 Remote Similarity NPC274716
0.5195 Remote Similarity NPC167116
0.5195 Remote Similarity NPC609821
0.519 Remote Similarity NPC212237
0.5156 Remote Similarity NPC39701
0.5156 Remote Similarity NPC184026
0.5152 Remote Similarity NPC253043
0.5152 Remote Similarity NPC136508
0.5152 Remote Similarity NPC600388
0.5139 Remote Similarity NPC276890
0.5125 Remote Similarity NPC605743
0.5065 Remote Similarity NPC116465

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC606439 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
0.7308 Intermediate Similarity NPD4664 Clinical (unspecified phase)
0.5873 Remote Similarity NPD4010 Discontinued

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