Natural Product: NPC540615

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 NPC540615 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 NPC605229
0.74 Intermediate Similarity NPC120924
0.7358 Intermediate Similarity NPC181124
0.7358 Intermediate Similarity NPC100971
0.7037 Intermediate Similarity NPC216769
0.6923 Remote Similarity NPC195919
0.6909 Remote Similarity NPC487217
0.6769 Remote Similarity NPC259070
0.6667 Remote Similarity NPC105511
0.6429 Remote Similarity NPC186507
0.6429 Remote Similarity NPC162680
0.6429 Remote Similarity NPC303644
0.6333 Remote Similarity NPC62518
0.6316 Remote Similarity NPC148497
0.6296 Remote Similarity NPC182842
0.625 Remote Similarity NPC7013
0.625 Remote Similarity NPC269451
0.6038 Remote Similarity NPC234560
0.6 Remote Similarity NPC285973
0.5965 Remote Similarity NPC603503
0.5926 Remote Similarity NPC218490
0.5862 Remote Similarity NPC121522
0.5862 Remote Similarity NPC209560
0.5862 Remote Similarity NPC490700
0.569 Remote Similarity NPC131266
0.5667 Remote Similarity NPC12377
0.5636 Remote Similarity NPC125449
0.5574 Remote Similarity NPC139364
0.5538 Remote Similarity NPC219917
0.5536 Remote Similarity NPC182428
0.55 Remote Similarity NPC181209
0.55 Remote Similarity NPC279061
0.55 Remote Similarity NPC483565
0.5455 Remote Similarity NPC168085
0.5424 Remote Similarity NPC10467
0.541 Remote Similarity NPC52623
0.5357 Remote Similarity NPC39426
0.5352 Remote Similarity NPC211014
0.5333 Remote Similarity NPC203747
0.5333 Remote Similarity NPC609386
0.5333 Remote Similarity NPC610981
0.5323 Remote Similarity NPC80710
0.5278 Remote Similarity NPC161749
0.5254 Remote Similarity NPC185607
0.5238 Remote Similarity NPC134726
0.5231 Remote Similarity NPC260640
0.5211 Remote Similarity NPC135345
0.5167 Remote Similarity NPC116632
0.5167 Remote Similarity NPC474340
0.5161 Remote Similarity NPC262623
0.5152 Remote Similarity NPC97716
0.5135 Remote Similarity NPC205076
0.5082 Remote Similarity NPC245382
0.5082 Remote Similarity NPC136095
0.5082 Remote Similarity NPC69430
0.5082 Remote Similarity NPC294409
0.5082 Remote Similarity NPC490701
0.5079 Remote Similarity NPC487216
0.5079 Remote Similarity NPC191741

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC540615 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
0.5357 Remote Similarity NPD1510 Phase 2
0.5278 Remote Similarity NPD4381 Clinical (unspecified phase)

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