Natural Product: NPC600446

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 NPC600446 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 NPC605013
0.9296 High Similarity NPC281563
0.8205 Intermediate Similarity NPC477326
0.8182 Intermediate Similarity NPC604005
0.8182 Intermediate Similarity NPC605014
0.8101 Intermediate Similarity NPC109887
0.7867 Intermediate Similarity NPC477350
0.7821 Intermediate Similarity NPC113745
0.7821 Intermediate Similarity NPC477320
0.7821 Intermediate Similarity NPC477323
0.7821 Intermediate Similarity NPC477325
0.7821 Intermediate Similarity NPC609436
0.7532 Intermediate Similarity NPC146380
0.7529 Intermediate Similarity NPC183888
0.7381 Intermediate Similarity NPC472204
0.7368 Intermediate Similarity NPC606819
0.7349 Intermediate Similarity NPC267592
0.7326 Intermediate Similarity NPC224953
0.7326 Intermediate Similarity NPC259294
0.7326 Intermediate Similarity NPC126685
0.7262 Intermediate Similarity NPC472205
0.7176 Intermediate Similarity NPC307400
0.7176 Intermediate Similarity NPC27289
0.716 Intermediate Similarity NPC22742
0.716 Intermediate Similarity NPC477349
0.716 Intermediate Similarity NPC477346
0.7143 Intermediate Similarity NPC478729
0.7126 Intermediate Similarity NPC184915
0.7108 Intermediate Similarity NPC477344
0.7059 Intermediate Similarity NPC477319
0.6988 Remote Similarity NPC478734
0.6977 Remote Similarity NPC143421
0.6977 Remote Similarity NPC119583
0.6966 Remote Similarity NPC44782
0.6914 Remote Similarity NPC477329
0.6897 Remote Similarity NPC483170
0.6854 Remote Similarity NPC123204
0.6824 Remote Similarity NPC478733
0.6818 Remote Similarity NPC290012
0.6818 Remote Similarity NPC115013
0.679 Remote Similarity NPC477328
0.679 Remote Similarity NPC477330
0.6786 Remote Similarity NPC89843
0.6667 Remote Similarity NPC297768
0.6552 Remote Similarity NPC146992
0.6552 Remote Similarity NPC85759
0.6517 Remote Similarity NPC238264
0.6517 Remote Similarity NPC477345
0.6495 Remote Similarity NPC28069
0.6495 Remote Similarity NPC77651
0.6484 Remote Similarity NPC472200
0.6444 Remote Similarity NPC169345
0.6404 Remote Similarity NPC294748
0.6395 Remote Similarity NPC477331
0.6395 Remote Similarity NPC477332
0.6264 Remote Similarity NPC238056
0.6264 Remote Similarity NPC477317
0.6264 Remote Similarity NPC477318
0.6176 Remote Similarity NPC471025
0.617 Remote Similarity NPC478728
0.6139 Remote Similarity NPC290276
0.6111 Remote Similarity NPC478724
0.6105 Remote Similarity NPC478727
0.6071 Remote Similarity NPC475425
0.6036 Remote Similarity NPC147032
0.6 Remote Similarity NPC478722
0.6 Remote Similarity NPC478725
0.596 Remote Similarity NPC124878
0.596 Remote Similarity NPC231888
0.5934 Remote Similarity NPC173328
0.5934 Remote Similarity NPC478723
0.5914 Remote Similarity NPC478731
0.59 Remote Similarity NPC35338
0.59 Remote Similarity NPC204214
0.59 Remote Similarity NPC92283
0.587 Remote Similarity NPC478730
0.587 Remote Similarity NPC186992
0.5833 Remote Similarity NPC471024
0.5825 Remote Similarity NPC10121
0.5825 Remote Similarity NPC198918
0.5825 Remote Similarity NPC10883
0.5824 Remote Similarity NPC479061
0.5806 Remote Similarity NPC476087
0.5806 Remote Similarity NPC475667
0.5806 Remote Similarity NPC478726
0.5794 Remote Similarity NPC471026
0.5789 Remote Similarity NPC163409
0.5778 Remote Similarity NPC158302
0.5761 Remote Similarity NPC479060
0.5745 Remote Similarity NPC478732
0.5743 Remote Similarity NPC63404
0.5684 Remote Similarity NPC475270
0.5684 Remote Similarity NPC475327
0.5657 Remote Similarity NPC475241
0.5625 Remote Similarity NPC475525
0.5625 Remote Similarity NPC475540
0.5604 Remote Similarity NPC479059
0.56 Remote Similarity NPC206823
0.5567 Remote Similarity NPC476066
0.551 Remote Similarity NPC475164
0.5505 Remote Similarity NPC472352
0.5455 Remote Similarity NPC473605
0.5455 Remote Similarity NPC475375
0.5269 Remote Similarity NPC216883
0.5263 Remote Similarity NPC479058
0.5263 Remote Similarity NPC476781
0.5253 Remote Similarity NPC269318
0.5158 Remote Similarity NPC60849
0.5135 Remote Similarity NPC600940
0.5132 Remote Similarity NPC241265
0.5104 Remote Similarity NPC44682

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC600446 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