Natural Product: NPC601132

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 NPC601132 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 NPC185838
0.7692 Intermediate Similarity NPC191376
0.7551 Intermediate Similarity NPC314682
0.7547 Intermediate Similarity NPC321505
0.7547 Intermediate Similarity NPC179825
0.7222 Intermediate Similarity NPC135538
0.7222 Intermediate Similarity NPC24233
0.7119 Intermediate Similarity NPC317272
0.7119 Intermediate Similarity NPC268503
0.7059 Intermediate Similarity NPC213206
0.7059 Intermediate Similarity NPC188163
0.7059 Intermediate Similarity NPC328750
0.6774 Remote Similarity NPC256012
0.6774 Remote Similarity NPC610965
0.6615 Remote Similarity NPC610959
0.6515 Remote Similarity NPC480591
0.6429 Remote Similarity NPC103379
0.6364 Remote Similarity NPC240841
0.6346 Remote Similarity NPC484289
0.6271 Remote Similarity NPC247639
0.6271 Remote Similarity NPC25084
0.597 Remote Similarity NPC603603
0.5862 Remote Similarity NPC147390
0.5862 Remote Similarity NPC428
0.5775 Remote Similarity NPC600054
0.5775 Remote Similarity NPC601504
0.5694 Remote Similarity NPC601503
0.5634 Remote Similarity NPC609914
0.5479 Remote Similarity NPC185639
0.5479 Remote Similarity NPC251735
0.5479 Remote Similarity NPC49075
0.5479 Remote Similarity NPC223690
0.5479 Remote Similarity NPC9532
0.5479 Remote Similarity NPC599951
0.5441 Remote Similarity NPC480592
0.5424 Remote Similarity NPC609731
0.541 Remote Similarity NPC39701
0.541 Remote Similarity NPC184026
0.5405 Remote Similarity NPC274716
0.5405 Remote Similarity NPC167116
0.5405 Remote Similarity NPC609821
0.5333 Remote Similarity NPC181796
0.5333 Remote Similarity NPC290005
0.5333 Remote Similarity NPC54654
0.5333 Remote Similarity NPC7715
0.5333 Remote Similarity NPC328155
0.5333 Remote Similarity NPC222661
0.5333 Remote Similarity NPC285931
0.5323 Remote Similarity NPC469817
0.5278 Remote Similarity NPC290582
0.5278 Remote Similarity NPC217748
0.5278 Remote Similarity NPC182052
0.5278 Remote Similarity NPC271013
0.5278 Remote Similarity NPC42663
0.5278 Remote Similarity NPC15414
0.5238 Remote Similarity NPC27887
0.5205 Remote Similarity NPC279228
0.5195 Remote Similarity NPC212237
0.5195 Remote Similarity NPC601489
0.5195 Remote Similarity NPC604804
0.5143 Remote Similarity NPC276890
0.5135 Remote Similarity NPC311973
0.5135 Remote Similarity NPC239824
0.5135 Remote Similarity NPC112248
0.5135 Remote Similarity NPC600872
0.5128 Remote Similarity NPC24260
0.5128 Remote Similarity NPC605743
0.5128 Remote Similarity NPC611658
0.5079 Remote Similarity NPC276588
0.5079 Remote Similarity NPC127674
0.5079 Remote Similarity NPC278799
0.5077 Remote Similarity NPC474931
0.5067 Remote Similarity NPC254441
0.5067 Remote Similarity NPC116465
0.5065 Remote Similarity NPC16357
0.5065 Remote Similarity NPC302245

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC601132 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
0.7059 Intermediate Similarity NPD4664 Clinical (unspecified phase)
0.5156 Remote Similarity NPD4010 Discontinued

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