Natural Product: NPC608014

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 NPC608014 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 NPC241498
0.82 Intermediate Similarity NPC100887
0.8163 Intermediate Similarity NPC293183
0.8 Intermediate Similarity NPC156222
0.7885 Intermediate Similarity NPC83508
0.7358 Intermediate Similarity NPC256283
0.7308 Intermediate Similarity NPC284552
0.7222 Intermediate Similarity NPC255350
0.717 Intermediate Similarity NPC120163
0.6981 Remote Similarity NPC266960
0.6667 Remote Similarity NPC275836
0.6557 Remote Similarity NPC470402
0.6545 Remote Similarity NPC198826
0.6545 Remote Similarity NPC234133
0.6481 Remote Similarity NPC607196
0.6429 Remote Similarity NPC78913
0.6364 Remote Similarity NPC301323
0.6364 Remote Similarity NPC47815
0.6346 Remote Similarity NPC50898
0.625 Remote Similarity NPC231018
0.6226 Remote Similarity NPC130230
0.619 Remote Similarity NPC213622
0.6102 Remote Similarity NPC183950
0.6071 Remote Similarity NPC71334
0.6071 Remote Similarity NPC98661
0.5965 Remote Similarity NPC231772
0.5965 Remote Similarity NPC250266
0.5965 Remote Similarity NPC163524
0.5965 Remote Similarity NPC601901
0.5938 Remote Similarity NPC196179
0.5893 Remote Similarity NPC226973
0.5882 Remote Similarity NPC272064
0.5862 Remote Similarity NPC159275
0.5862 Remote Similarity NPC25270
0.5833 Remote Similarity NPC47781
0.5789 Remote Similarity NPC239128
0.5789 Remote Similarity NPC609062
0.5775 Remote Similarity NPC475942
0.569 Remote Similarity NPC184136
0.569 Remote Similarity NPC62536
0.569 Remote Similarity NPC145379
0.5667 Remote Similarity NPC52005
0.5614 Remote Similarity NPC26227
0.5593 Remote Similarity NPC312924
0.5588 Remote Similarity NPC600972
0.5574 Remote Similarity NPC610914
0.5556 Remote Similarity NPC172262
0.5517 Remote Similarity NPC203891
0.5517 Remote Similarity NPC44079
0.5507 Remote Similarity NPC290830
0.5507 Remote Similarity NPC71061
0.5507 Remote Similarity NPC72425
0.5507 Remote Similarity NPC600396
0.5484 Remote Similarity NPC284220
0.5469 Remote Similarity NPC603717
0.5455 Remote Similarity NPC12367
0.5424 Remote Similarity NPC120464
0.5424 Remote Similarity NPC266597
0.5424 Remote Similarity NPC269451
0.5424 Remote Similarity NPC483773
0.541 Remote Similarity NPC4455
0.541 Remote Similarity NPC160951
0.541 Remote Similarity NPC12200
0.541 Remote Similarity NPC115323
0.541 Remote Similarity NPC606638
0.537 Remote Similarity NPC55557
0.5357 Remote Similarity NPC222713
0.5352 Remote Similarity NPC215203
0.5345 Remote Similarity NPC472438
0.5345 Remote Similarity NPC75279
0.5345 Remote Similarity NPC602963
0.5333 Remote Similarity NPC108406
0.5333 Remote Similarity NPC9609
0.5333 Remote Similarity NPC162313
0.5333 Remote Similarity NPC605047
0.5323 Remote Similarity NPC137062
0.5312 Remote Similarity NPC486096
0.5278 Remote Similarity NPC93337
0.5278 Remote Similarity NPC205026
0.5273 Remote Similarity NPC216318
0.5263 Remote Similarity NPC279121
0.5254 Remote Similarity NPC274327
0.5254 Remote Similarity NPC275722
0.5254 Remote Similarity NPC127447
0.5254 Remote Similarity NPC103342
0.5254 Remote Similarity NPC29353
0.5254 Remote Similarity NPC194281
0.5246 Remote Similarity NPC115798
0.5246 Remote Similarity NPC69394
0.5246 Remote Similarity NPC280339
0.5246 Remote Similarity NPC29841
0.5238 Remote Similarity NPC67322
0.5231 Remote Similarity NPC476185
0.5231 Remote Similarity NPC110969
0.5224 Remote Similarity NPC34089
0.5211 Remote Similarity NPC194593
0.5205 Remote Similarity NPC105025
0.5185 Remote Similarity NPC472992
0.5185 Remote Similarity NPC143903
0.5179 Remote Similarity NPC22783
0.5179 Remote Similarity NPC78540
0.5167 Remote Similarity NPC18260
0.5167 Remote Similarity NPC57030
0.5167 Remote Similarity NPC188203
0.5167 Remote Similarity NPC276409
0.5167 Remote Similarity NPC604085
0.5161 Remote Similarity NPC607642
0.5152 Remote Similarity NPC189706
0.5152 Remote Similarity NPC265932
0.5143 Remote Similarity NPC601984
0.5143 Remote Similarity NPC603508
0.5088 Remote Similarity NPC275772
0.5088 Remote Similarity NPC296197
0.5085 Remote Similarity NPC131624
0.5082 Remote Similarity NPC201136
0.5082 Remote Similarity NPC603662
0.5082 Remote Similarity NPC604569
0.5079 Remote Similarity NPC227325
0.5079 Remote Similarity NPC606105
0.5072 Remote Similarity NPC602497
0.507 Remote Similarity NPC303485

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC608014 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
0.7222 Intermediate Similarity NPD2801 Pre-clinical
0.5263 Remote Similarity NPD1511 Phase 2

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