Natural Product: NPC609485

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 NPC609485 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 NPC52005
0.7925 Intermediate Similarity NPC231772
0.7925 Intermediate Similarity NPC601901
0.75 Intermediate Similarity NPC12200
0.75 Intermediate Similarity NPC606638
0.7455 Intermediate Similarity NPC256283
0.7368 Intermediate Similarity NPC183950
0.7321 Intermediate Similarity NPC82325
0.7321 Intermediate Similarity NPC54394
0.7273 Intermediate Similarity NPC120464
0.7193 Intermediate Similarity NPC223579
0.6964 Remote Similarity NPC62536
0.6964 Remote Similarity NPC483773
0.6897 Remote Similarity NPC287101
0.6897 Remote Similarity NPC607642
0.6852 Remote Similarity NPC279121
0.6724 Remote Similarity NPC212678
0.661 Remote Similarity NPC160951
0.6562 Remote Similarity NPC183
0.6557 Remote Similarity NPC605634
0.6481 Remote Similarity NPC50898
0.6481 Remote Similarity NPC78540
0.6479 Remote Similarity NPC191306
0.6364 Remote Similarity NPC175013
0.6333 Remote Similarity NPC196439
0.6271 Remote Similarity NPC600900
0.6176 Remote Similarity NPC150908
0.6167 Remote Similarity NPC146165
0.6133 Remote Similarity NPC600989
0.6102 Remote Similarity NPC59951
0.6087 Remote Similarity NPC71061
0.6087 Remote Similarity NPC72425
0.6087 Remote Similarity NPC303485
0.6066 Remote Similarity NPC608258
0.6 Remote Similarity NPC112954
0.6 Remote Similarity NPC272064
0.6 Remote Similarity NPC186227
0.5965 Remote Similarity NPC274121
0.5932 Remote Similarity NPC123886
0.5932 Remote Similarity NPC156222
0.5915 Remote Similarity NPC215203
0.5862 Remote Similarity NPC213216
0.5833 Remote Similarity NPC100887
0.5833 Remote Similarity NPC50403
0.5833 Remote Similarity NPC241838
0.5833 Remote Similarity NPC601565
0.5821 Remote Similarity NPC34089
0.5821 Remote Similarity NPC196179
0.5806 Remote Similarity NPC162351
0.5806 Remote Similarity NPC603596
0.5806 Remote Similarity NPC609179
0.5797 Remote Similarity NPC134796
0.5763 Remote Similarity NPC610974
0.5738 Remote Similarity NPC50715
0.5714 Remote Similarity NPC279989
0.5714 Remote Similarity NPC194653
0.5714 Remote Similarity NPC600972
0.5667 Remote Similarity NPC241498
0.5667 Remote Similarity NPC184536
0.5667 Remote Similarity NPC103342
0.5667 Remote Similarity NPC29353
0.5667 Remote Similarity NPC600177
0.5658 Remote Similarity NPC165970
0.5645 Remote Similarity NPC159103
0.5645 Remote Similarity NPC255350
0.5634 Remote Similarity NPC290830
0.5584 Remote Similarity NPC288131
0.5574 Remote Similarity NPC286342
0.5574 Remote Similarity NPC184136
0.5574 Remote Similarity NPC188203
0.557 Remote Similarity NPC113163
0.55 Remote Similarity NPC293183
0.55 Remote Similarity NPC66618
0.55 Remote Similarity NPC305987
0.5484 Remote Similarity NPC108406
0.5484 Remote Similarity NPC9609
0.5484 Remote Similarity NPC603662
0.5479 Remote Similarity NPC143851
0.5469 Remote Similarity NPC133953
0.5469 Remote Similarity NPC125062
0.5455 Remote Similarity NPC88023
0.5455 Remote Similarity NPC309025
0.541 Remote Similarity NPC301323
0.541 Remote Similarity NPC284552
0.541 Remote Similarity NPC605617
0.5397 Remote Similarity NPC200740
0.5397 Remote Similarity NPC55205
0.5397 Remote Similarity NPC83508
0.5395 Remote Similarity NPC219904
0.5342 Remote Similarity NPC63454
0.5342 Remote Similarity NPC183851
0.5325 Remote Similarity NPC22832
0.5325 Remote Similarity NPC120099
0.5323 Remote Similarity NPC57030
0.5323 Remote Similarity NPC234133
0.5323 Remote Similarity NPC28274
0.5323 Remote Similarity NPC266597
0.5323 Remote Similarity NPC610359
0.5316 Remote Similarity NPC4390
0.5312 Remote Similarity NPC177298
0.5312 Remote Similarity NPC195202
0.5294 Remote Similarity NPC301217
0.5286 Remote Similarity NPC603692
0.5286 Remote Similarity NPC610480
0.5256 Remote Similarity NPC172202
0.5256 Remote Similarity NPC284127
0.5246 Remote Similarity NPC131624
0.5238 Remote Similarity NPC162313
0.5238 Remote Similarity NPC605047
0.5231 Remote Similarity NPC137062
0.5217 Remote Similarity NPC470402
0.5161 Remote Similarity NPC219330
0.5161 Remote Similarity NPC127447
0.5156 Remote Similarity NPC270620
0.5152 Remote Similarity NPC483775
0.5147 Remote Similarity NPC138299
0.5147 Remote Similarity NPC111112
0.5143 Remote Similarity NPC254351
0.5128 Remote Similarity NPC101731
0.5128 Remote Similarity NPC601710
0.5128 Remote Similarity NPC609478
0.5079 Remote Similarity NPC48479
0.5079 Remote Similarity NPC198826
0.5079 Remote Similarity NPC145379
0.5077 Remote Similarity NPC189179
0.5077 Remote Similarity NPC93376
0.5077 Remote Similarity NPC124784
0.5077 Remote Similarity NPC283600
0.5077 Remote Similarity NPC115323
0.5077 Remote Similarity NPC604422
0.5072 Remote Similarity NPC130955
0.5072 Remote Similarity NPC291746
0.5067 Remote Similarity NPC254306
0.5062 Remote Similarity NPC84324

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC609485 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
0.6852 Remote Similarity NPD1511 Phase 2
0.5645 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