Natural Product: NPC600672

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 NPC600672 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
0.9072 High Similarity NPC611287
0.8269 Intermediate Similarity NPC610997
0.7714 Intermediate Similarity NPC610996
0.7248 Intermediate Similarity NPC600721
0.7248 Intermediate Similarity NPC605872
0.7117 Intermediate Similarity NPC600940
0.6286 Remote Similarity NPC224953
0.6139 Remote Similarity NPC478734
0.6117 Remote Similarity NPC146992
0.6117 Remote Similarity NPC85759
0.6095 Remote Similarity NPC483170
0.6091 Remote Similarity NPC475241
0.6078 Remote Similarity NPC477344
0.6019 Remote Similarity NPC478733
0.6 Remote Similarity NPC294748
0.6 Remote Similarity NPC119583
0.5981 Remote Similarity NPC183888
0.5981 Remote Similarity NPC184915
0.5981 Remote Similarity NPC126685
0.5962 Remote Similarity NPC479061
0.5905 Remote Similarity NPC297768
0.5905 Remote Similarity NPC472205
0.5905 Remote Similarity NPC479060
0.5888 Remote Similarity NPC169345
0.5888 Remote Similarity NPC238056
0.5888 Remote Similarity NPC115013
0.5872 Remote Similarity NPC44782
0.5794 Remote Similarity NPC476087
0.5794 Remote Similarity NPC475667
0.5748 Remote Similarity NPC147032
0.5741 Remote Similarity NPC478732
0.5714 Remote Similarity NPC109887
0.5701 Remote Similarity NPC143421
0.5701 Remote Similarity NPC307400
0.5701 Remote Similarity NPC27289
0.5688 Remote Similarity NPC259294
0.5688 Remote Similarity NPC475270
0.5688 Remote Similarity NPC475327
0.566 Remote Similarity NPC60849
0.5656 Remote Similarity NPC472352
0.5648 Remote Similarity NPC238264
0.5648 Remote Similarity NPC477345
0.5636 Remote Similarity NPC472200
0.5636 Remote Similarity NPC123204
0.5607 Remote Similarity NPC477319
0.5596 Remote Similarity NPC290012
0.5586 Remote Similarity NPC269318
0.5556 Remote Similarity NPC472204
0.5524 Remote Similarity NPC89843
0.5524 Remote Similarity NPC477331
0.5455 Remote Similarity NPC477317
0.5455 Remote Similarity NPC477318
0.544 Remote Similarity NPC471024
0.54 Remote Similarity NPC606819
0.5398 Remote Similarity NPC475164
0.5364 Remote Similarity NPC478726
0.5333 Remote Similarity NPC22742
0.5333 Remote Similarity NPC477346
0.5327 Remote Similarity NPC479059
0.5327 Remote Similarity NPC477326
0.5315 Remote Similarity NPC478731
0.5273 Remote Similarity NPC478730
0.5229 Remote Similarity NPC267592
0.5217 Remote Similarity NPC473605
0.5217 Remote Similarity NPC475375
0.5185 Remote Similarity NPC158302
0.5182 Remote Similarity NPC479058
0.5175 Remote Similarity NPC477347
0.5164 Remote Similarity NPC10883
0.513 Remote Similarity NPC478728
0.5091 Remote Similarity NPC478722
0.5086 Remote Similarity NPC478727
0.5047 Remote Similarity NPC113745
0.5047 Remote Similarity NPC477320
0.5047 Remote Similarity NPC477323
0.5047 Remote Similarity NPC477325
0.5047 Remote Similarity NPC609436
0.5045 Remote Similarity NPC173328
0.5043 Remote Similarity NPC477348
0.5041 Remote Similarity NPC290276

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC600672 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