Natural Product: NPC599824

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 NPC599824 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 NPC4036
1.0 High Similarity NPC65120
1.0 High Similarity NPC145067
1.0 High Similarity NPC233455
1.0 High Similarity NPC158030
0.7424 Intermediate Similarity NPC96095
0.7164 Intermediate Similarity NPC171203
0.7164 Intermediate Similarity NPC307426
0.7164 Intermediate Similarity NPC98442
0.7164 Intermediate Similarity NPC242468
0.7143 Intermediate Similarity NPC482712
0.7143 Intermediate Similarity NPC74751
0.675 Remote Similarity NPC471967
0.662 Remote Similarity NPC610635
0.6585 Remote Similarity NPC482752
0.6522 Remote Similarity NPC295643
0.6418 Remote Similarity NPC602872
0.6389 Remote Similarity NPC482711
0.6164 Remote Similarity NPC263393
0.6056 Remote Similarity NPC214756
0.6 Remote Similarity NPC482747
0.6 Remote Similarity NPC202666
0.6 Remote Similarity NPC471961
0.6 Remote Similarity NPC482746
0.6 Remote Similarity NPC242015
0.5946 Remote Similarity NPC281524
0.5946 Remote Similarity NPC474525
0.5934 Remote Similarity NPC482741
0.5934 Remote Similarity NPC482745
0.5934 Remote Similarity NPC482743
0.5934 Remote Similarity NPC146753
0.5915 Remote Similarity NPC95246
0.587 Remote Similarity NPC471965
0.587 Remote Similarity NPC482749
0.5867 Remote Similarity NPC474529
0.5806 Remote Similarity NPC14617
0.5694 Remote Similarity NPC479748
0.5658 Remote Similarity NPC46441
0.5625 Remote Similarity NPC262199
0.5616 Remote Similarity NPC272075
0.56 Remote Similarity NPC155120
0.56 Remote Similarity NPC288833
0.5584 Remote Similarity NPC471966
0.5541 Remote Similarity NPC7260
0.5541 Remote Similarity NPC210037
0.5541 Remote Similarity NPC263272
0.5541 Remote Similarity NPC120968
0.5541 Remote Similarity NPC227467
0.5541 Remote Similarity NPC273621
0.5395 Remote Similarity NPC98874
0.5395 Remote Similarity NPC148523
0.5385 Remote Similarity NPC198818
0.525 Remote Similarity NPC169343
0.5128 Remote Similarity NPC474964
0.5067 Remote Similarity NPC477872
0.5065 Remote Similarity NPC474537
0.5063 Remote Similarity NPC476064
0.5059 Remote Similarity NPC476878

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC599824 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
1.0 High Similarity NPD7515 Phase 2
0.7143 Intermediate Similarity NPD7748 Pre-clinical
0.6667 Remote Similarity NPD7902 Phase 4
0.6 Remote Similarity NPD8328 Phase 2
0.5122 Remote Similarity NPD7900 Approved
0.5122 Remote Similarity NPD7901 Clinical (unspecified phase)

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