Natural Product: NPC603562

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 NPC603562 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 NPC145379
0.82 Intermediate Similarity NPC239128
0.8077 Intermediate Similarity NPC69394
0.8039 Intermediate Similarity NPC120163
0.7925 Intermediate Similarity NPC160951
0.7647 Intermediate Similarity NPC75279
0.7547 Intermediate Similarity NPC25270
0.7358 Intermediate Similarity NPC276409
0.717 Intermediate Similarity NPC156222
0.717 Intermediate Similarity NPC29353
0.7143 Intermediate Similarity NPC47781
0.7037 Intermediate Similarity NPC110070
0.7037 Intermediate Similarity NPC57030
0.6923 Remote Similarity NPC58053
0.6909 Remote Similarity NPC49824
0.6727 Remote Similarity NPC176775
0.6716 Remote Similarity NPC186807
0.6429 Remote Similarity NPC184136
0.6429 Remote Similarity NPC231772
0.6379 Remote Similarity NPC608539
0.6316 Remote Similarity NPC603662
0.625 Remote Similarity NPC274327
0.6182 Remote Similarity NPC14958
0.6164 Remote Similarity NPC211594
0.614 Remote Similarity NPC22519
0.6111 Remote Similarity NPC604293
0.6102 Remote Similarity NPC195202
0.5965 Remote Similarity NPC52611
0.5965 Remote Similarity NPC127447
0.5965 Remote Similarity NPC600177
0.5932 Remote Similarity NPC176300
0.5932 Remote Similarity NPC255350
0.5882 Remote Similarity NPC600396
0.5862 Remote Similarity NPC33265
0.5862 Remote Similarity NPC234133
0.5862 Remote Similarity NPC266597
0.5862 Remote Similarity NPC604085
0.5862 Remote Similarity NPC604462
0.5833 Remote Similarity NPC25495
0.5833 Remote Similarity NPC93376
0.5833 Remote Similarity NPC283600
0.5833 Remote Similarity NPC223579
0.5833 Remote Similarity NPC609451
0.5789 Remote Similarity NPC293183
0.5769 Remote Similarity NPC204693
0.5763 Remote Similarity NPC163780
0.5763 Remote Similarity NPC256283
0.5753 Remote Similarity NPC605067
0.5714 Remote Similarity NPC101294
0.5692 Remote Similarity NPC470402
0.569 Remote Similarity NPC241498
0.569 Remote Similarity NPC275722
0.5667 Remote Similarity NPC212678
0.5634 Remote Similarity NPC93337
0.5593 Remote Similarity NPC18260
0.5593 Remote Similarity NPC198826
0.5593 Remote Similarity NPC250266
0.5593 Remote Similarity NPC101830
0.5588 Remote Similarity NPC248739
0.5574 Remote Similarity NPC177298
0.5574 Remote Similarity NPC2476
0.5571 Remote Similarity NPC272064
0.5556 Remote Similarity NPC485299
0.5556 Remote Similarity NPC483707
0.5556 Remote Similarity NPC105025
0.5517 Remote Similarity NPC607196
0.5517 Remote Similarity NPC607530
0.5507 Remote Similarity NPC601984
0.55 Remote Similarity NPC108406
0.55 Remote Similarity NPC78913
0.55 Remote Similarity NPC18772
0.5484 Remote Similarity NPC610914
0.5469 Remote Similarity NPC76482
0.5439 Remote Similarity NPC2771
0.5429 Remote Similarity NPC158027
0.5417 Remote Similarity NPC95090
0.5417 Remote Similarity NPC27408
0.5397 Remote Similarity NPC295036
0.5352 Remote Similarity NPC14606
0.5342 Remote Similarity NPC181712
0.5342 Remote Similarity NPC45638
0.5342 Remote Similarity NPC602537
0.5333 Remote Similarity NPC100887
0.5333 Remote Similarity NPC48479
0.5333 Remote Similarity NPC231018
0.5325 Remote Similarity NPC172807
0.5323 Remote Similarity NPC196439
0.5323 Remote Similarity NPC12200
0.5323 Remote Similarity NPC608258
0.5278 Remote Similarity NPC121649
0.5273 Remote Similarity NPC226987
0.527 Remote Similarity NPC201292
0.5254 Remote Similarity NPC250822
0.5246 Remote Similarity NPC162313
0.5238 Remote Similarity NPC261004
0.5238 Remote Similarity NPC137062
0.5205 Remote Similarity NPC18699
0.5179 Remote Similarity NPC30647
0.5172 Remote Similarity NPC284424
0.5167 Remote Similarity NPC284552
0.5167 Remote Similarity NPC113089
0.5167 Remote Similarity NPC125887
0.5167 Remote Similarity NPC262094
0.5167 Remote Similarity NPC609958
0.5161 Remote Similarity NPC183597
0.5161 Remote Similarity NPC83508
0.5156 Remote Similarity NPC227192
0.5147 Remote Similarity NPC213622
0.5132 Remote Similarity NPC80188
0.5085 Remote Similarity NPC333230
0.5085 Remote Similarity NPC129680
0.5082 Remote Similarity NPC62536
0.5082 Remote Similarity NPC143828
0.5079 Remote Similarity NPC52005
0.507 Remote Similarity NPC150908
0.5065 Remote Similarity NPC220169
0.5065 Remote Similarity NPC602805
0.5063 Remote Similarity NPC254540

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC603562 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
0.5932 Remote Similarity NPD2801 Pre-clinical

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