Natural Product: NPC606819

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 NPC606819 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
0.7917 Intermediate Similarity NPC113745
0.7917 Intermediate Similarity NPC477320
0.7917 Intermediate Similarity NPC477323
0.7917 Intermediate Similarity NPC477325
0.7917 Intermediate Similarity NPC609436
0.7887 Intermediate Similarity NPC281563
0.7838 Intermediate Similarity NPC477344
0.7733 Intermediate Similarity NPC109887
0.7703 Intermediate Similarity NPC478734
0.76 Intermediate Similarity NPC477326
0.75 Intermediate Similarity NPC478733
0.7403 Intermediate Similarity NPC267592
0.7368 Intermediate Similarity NPC600446
0.7368 Intermediate Similarity NPC605013
0.7361 Intermediate Similarity NPC146380
0.7342 Intermediate Similarity NPC483170
0.7308 Intermediate Similarity NPC297768
0.725 Intermediate Similarity NPC478731
0.7222 Intermediate Similarity NPC477350
0.7215 Intermediate Similarity NPC307400
0.7215 Intermediate Similarity NPC27289
0.7215 Intermediate Similarity NPC478730
0.7125 Intermediate Similarity NPC238264
0.7125 Intermediate Similarity NPC476087
0.7125 Intermediate Similarity NPC475667
0.7125 Intermediate Similarity NPC477345
0.7089 Intermediate Similarity NPC477319
0.7037 Intermediate Similarity NPC478732
0.7 Intermediate Similarity NPC143421
0.7 Intermediate Similarity NPC119583
0.6951 Remote Similarity NPC183888
0.6951 Remote Similarity NPC475270
0.6951 Remote Similarity NPC475327
0.6883 Remote Similarity NPC604005
0.6883 Remote Similarity NPC605014
0.6867 Remote Similarity NPC123204
0.6867 Remote Similarity NPC475525
0.6867 Remote Similarity NPC475540
0.6829 Remote Similarity NPC290012
0.6829 Remote Similarity NPC115013
0.6786 Remote Similarity NPC476066
0.675 Remote Similarity NPC479061
0.6747 Remote Similarity NPC224953
0.6747 Remote Similarity NPC126685
0.6706 Remote Similarity NPC475164
0.6667 Remote Similarity NPC479060
0.6628 Remote Similarity NPC473605
0.6628 Remote Similarity NPC475375
0.6582 Remote Similarity NPC89843
0.6548 Remote Similarity NPC259294
0.6538 Remote Similarity NPC22742
0.6538 Remote Similarity NPC477349
0.6538 Remote Similarity NPC477346
0.65 Remote Similarity NPC479059
0.6477 Remote Similarity NPC475241
0.6429 Remote Similarity NPC169345
0.6353 Remote Similarity NPC184915
0.6235 Remote Similarity NPC477317
0.6235 Remote Similarity NPC477318
0.6207 Remote Similarity NPC44782
0.619 Remote Similarity NPC472204
0.6145 Remote Similarity NPC146992
0.6145 Remote Similarity NPC85759
0.6071 Remote Similarity NPC479058
0.6071 Remote Similarity NPC472205
0.6071 Remote Similarity NPC173328
0.6053 Remote Similarity NPC478729
0.6 Remote Similarity NPC294748
0.6 Remote Similarity NPC186992
0.5952 Remote Similarity NPC60849
0.5949 Remote Similarity NPC477330
0.5875 Remote Similarity NPC477329
0.5862 Remote Similarity NPC238056
0.575 Remote Similarity NPC477328
0.5735 Remote Similarity NPC206823
0.573 Remote Similarity NPC163409
0.573 Remote Similarity NPC472200
0.5714 Remote Similarity NPC158302
0.5625 Remote Similarity NPC28069
0.5625 Remote Similarity NPC77651
0.5612 Remote Similarity NPC611287
0.5604 Remote Similarity NPC478728
0.5579 Remote Similarity NPC124878
0.5579 Remote Similarity NPC231888
0.5543 Remote Similarity NPC478727
0.5521 Remote Similarity NPC35338
0.5521 Remote Similarity NPC204214
0.5521 Remote Similarity NPC92283
0.5506 Remote Similarity NPC162925
0.5495 Remote Similarity NPC269318
0.5455 Remote Similarity NPC10121
0.5455 Remote Similarity NPC198918
0.5455 Remote Similarity NPC10883
0.5412 Remote Similarity NPC477331
0.5412 Remote Similarity NPC477332
0.5402 Remote Similarity NPC478725
0.54 Remote Similarity NPC600672
0.54 Remote Similarity NPC610996
0.5361 Remote Similarity NPC63404
0.5347 Remote Similarity NPC471025
0.5341 Remote Similarity NPC478723
0.5341 Remote Similarity NPC478724
0.5325 Remote Similarity NPC9763
0.5316 Remote Similarity NPC169085
0.53 Remote Similarity NPC290276
0.5294 Remote Similarity NPC600721
0.5294 Remote Similarity NPC605872
0.5275 Remote Similarity NPC479057
0.5273 Remote Similarity NPC147032
0.5227 Remote Similarity NPC478722
0.5222 Remote Similarity NPC478726
0.5195 Remote Similarity NPC52268
0.5176 Remote Similarity NPC87153
0.5169 Remote Similarity NPC44682
0.506 Remote Similarity NPC475425
0.5048 Remote Similarity NPC610997
0.5047 Remote Similarity NPC471024

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC606819 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
NPD

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