Natural Product: NPC545930

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 NPC545930 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 NPC606248
0.8125 Intermediate Similarity NPC255106
0.8125 Intermediate Similarity NPC235165
0.7843 Intermediate Similarity NPC474836
0.6923 Remote Similarity NPC475267
0.6731 Remote Similarity NPC329203
0.6731 Remote Similarity NPC324386
0.6731 Remote Similarity NPC222342
0.6667 Remote Similarity NPC32441
0.6667 Remote Similarity NPC79943
0.6471 Remote Similarity NPC225153
0.6471 Remote Similarity NPC479876
0.6415 Remote Similarity NPC300668
0.6078 Remote Similarity NPC329225
0.6078 Remote Similarity NPC147686
0.6 Remote Similarity NPC210084
0.5862 Remote Similarity NPC236637
0.5818 Remote Similarity NPC274784
0.5818 Remote Similarity NPC20709
0.5714 Remote Similarity NPC485881
0.5714 Remote Similarity NPC469764
0.5574 Remote Similarity NPC69674
0.5517 Remote Similarity NPC302950
0.5484 Remote Similarity NPC470131
0.5484 Remote Similarity NPC470133
0.5484 Remote Similarity NPC220998
0.5484 Remote Similarity NPC470135
0.5484 Remote Similarity NPC470132
0.5455 Remote Similarity NPC243083
0.5455 Remote Similarity NPC13768
0.5455 Remote Similarity NPC6407
0.5455 Remote Similarity NPC287246
0.5455 Remote Similarity NPC545184
0.5455 Remote Similarity NPC603284
0.5439 Remote Similarity NPC321011
0.5439 Remote Similarity NPC294852
0.5439 Remote Similarity NPC188679
0.5439 Remote Similarity NPC486095
0.5397 Remote Similarity NPC134171
0.5397 Remote Similarity NPC486094
0.537 Remote Similarity NPC265871
0.537 Remote Similarity NPC205093
0.5357 Remote Similarity NPC150648
0.5357 Remote Similarity NPC312391
0.5357 Remote Similarity NPC167624
0.5357 Remote Similarity NPC166482
0.5345 Remote Similarity NPC48208
0.5323 Remote Similarity NPC477841
0.5273 Remote Similarity NPC476480
0.5273 Remote Similarity NPC188243
0.5273 Remote Similarity NPC110228
0.5273 Remote Similarity NPC84585
0.5263 Remote Similarity NPC99597
0.5263 Remote Similarity NPC480993
0.5263 Remote Similarity NPC338131
0.5246 Remote Similarity NPC169591
0.5246 Remote Similarity NPC298223
0.5246 Remote Similarity NPC604412
0.5238 Remote Similarity NPC477840
0.5179 Remote Similarity NPC295261
0.5179 Remote Similarity NPC296490
0.5179 Remote Similarity NPC204515
0.5088 Remote Similarity NPC1612
0.5088 Remote Similarity NPC183959
0.5088 Remote Similarity NPC37392
0.5088 Remote Similarity NPC162869
0.5085 Remote Similarity NPC18727
0.5085 Remote Similarity NPC310135
0.5085 Remote Similarity NPC601395
0.5075 Remote Similarity NPC611447
0.507 Remote Similarity NPC601453
0.507 Remote Similarity NPC605491

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC545930 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
0.6667 Remote Similarity NPD1552 Clinical (unspecified phase)
0.6078 Remote Similarity NPD1549 Phase 2
0.5517 Remote Similarity NPD1934 Phase 0
0.5455 Remote Similarity NPD1550 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