Natural Product: NPC593428

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 NPC593428 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 NPC605573
0.7922 Intermediate Similarity NPC217918
0.764 Intermediate Similarity NPC327699
0.6629 Remote Similarity NPC603140
0.631 Remote Similarity NPC609501
0.6267 Remote Similarity NPC79303
0.6163 Remote Similarity NPC155329
0.6163 Remote Similarity NPC114357
0.6082 Remote Similarity NPC36607
0.6023 Remote Similarity NPC259144
0.6023 Remote Similarity NPC219419
0.6 Remote Similarity NPC471629
0.6 Remote Similarity NPC306001
0.596 Remote Similarity NPC471623
0.596 Remote Similarity NPC208553
0.596 Remote Similarity NPC181964
0.596 Remote Similarity NPC307628
0.596 Remote Similarity NPC473400
0.596 Remote Similarity NPC603171
0.593 Remote Similarity NPC197037
0.593 Remote Similarity NPC229545
0.593 Remote Similarity NPC248265
0.593 Remote Similarity NPC134685
0.59 Remote Similarity NPC33372
0.59 Remote Similarity NPC67246
0.59 Remote Similarity NPC324251
0.59 Remote Similarity NPC206211
0.5842 Remote Similarity NPC487360
0.5842 Remote Similarity NPC479182
0.5842 Remote Similarity NPC479180
0.5795 Remote Similarity NPC11588
0.5758 Remote Similarity NPC473300
0.5747 Remote Similarity NPC91730
0.5743 Remote Similarity NPC471754
0.5728 Remote Similarity NPC471606
0.5728 Remote Similarity NPC275170
0.57 Remote Similarity NPC321072
0.57 Remote Similarity NPC215892
0.57 Remote Similarity NPC242662
0.57 Remote Similarity NPC102167
0.57 Remote Similarity NPC488127
0.5673 Remote Similarity NPC486061
0.5673 Remote Similarity NPC486060
0.5644 Remote Similarity NPC453583
0.5644 Remote Similarity NPC317882
0.5644 Remote Similarity NPC191193
0.5619 Remote Similarity NPC487361
0.5588 Remote Similarity NPC479183
0.5588 Remote Similarity NPC479181
0.5534 Remote Similarity NPC478329
0.5444 Remote Similarity NPC473632
0.5392 Remote Similarity NPC473490
0.5192 Remote Similarity NPC473558
0.5111 Remote Similarity NPC38696
0.5096 Remote Similarity NPC478328

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC593428 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
0.596 Remote Similarity NPD8485 Phase 4
0.57 Remote Similarity NPD8360 Approved
0.57 Remote Similarity NPD8361 Phase 4
0.5437 Remote Similarity NPD8368 Phase 2
0.5392 Remote Similarity NPD8424 Phase 3
0.534 Remote Similarity NPD8435 Phase 4
0.5283 Remote Similarity NPD8486 Phase 1
0.5185 Remote Similarity NPD8470 Clinical (unspecified phase)
0.513 Remote Similarity NPD8462 Phase 2
0.5093 Remote Similarity NPD8434 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