Natural Product: NPC609452

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 NPC609452 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
0.8689 High Similarity NPC231063
0.8689 High Similarity NPC282395
0.8689 High Similarity NPC472149
0.8387 Intermediate Similarity NPC88116
0.7656 Intermediate Similarity NPC121798
0.7656 Intermediate Similarity NPC234346
0.7538 Intermediate Similarity NPC173744
0.7538 Intermediate Similarity NPC204961
0.7538 Intermediate Similarity NPC73004
0.7538 Intermediate Similarity NPC110308
0.7424 Intermediate Similarity NPC32407
0.7424 Intermediate Similarity NPC263548
0.7424 Intermediate Similarity NPC606320
0.7385 Intermediate Similarity NPC84319
0.7385 Intermediate Similarity NPC52021
0.7385 Intermediate Similarity NPC599947
0.7313 Intermediate Similarity NPC247139
0.7121 Intermediate Similarity NPC182797
0.7121 Intermediate Similarity NPC52169
0.7121 Intermediate Similarity NPC488562
0.7101 Intermediate Similarity NPC20235
0.7101 Intermediate Similarity NPC299996
0.7059 Intermediate Similarity NPC201657
0.6912 Remote Similarity NPC145667
0.6866 Remote Similarity NPC307282
0.6761 Remote Similarity NPC479743
0.6618 Remote Similarity NPC270768
0.6618 Remote Similarity NPC59263
0.6618 Remote Similarity NPC210106
0.6571 Remote Similarity NPC88847
0.6522 Remote Similarity NPC106112
0.6522 Remote Similarity NPC261935
0.6522 Remote Similarity NPC37221
0.6522 Remote Similarity NPC481314
0.6486 Remote Similarity NPC188833
0.6479 Remote Similarity NPC481316
0.6286 Remote Similarity NPC71074
0.6286 Remote Similarity NPC481360
0.6286 Remote Similarity NPC605937
0.6197 Remote Similarity NPC259733
0.6197 Remote Similarity NPC158371
0.6197 Remote Similarity NPC207922
0.6164 Remote Similarity NPC324063
0.6143 Remote Similarity NPC282616
0.6111 Remote Similarity NPC9613
0.6081 Remote Similarity NPC481315
0.6027 Remote Similarity NPC25299
0.6027 Remote Similarity NPC481322
0.6027 Remote Similarity NPC130520
0.6 Remote Similarity NPC480946
0.6 Remote Similarity NPC130577
0.6 Remote Similarity NPC142415
0.6 Remote Similarity NPC102683
0.5972 Remote Similarity NPC305464
0.5972 Remote Similarity NPC19376
0.5972 Remote Similarity NPC25848
0.5972 Remote Similarity NPC298554
0.5867 Remote Similarity NPC6255
0.5833 Remote Similarity NPC158141
0.5753 Remote Similarity NPC40092
0.5735 Remote Similarity NPC478657
0.5733 Remote Similarity NPC116457
0.5694 Remote Similarity NPC275809
0.5694 Remote Similarity NPC229281
0.5694 Remote Similarity NPC306541
0.5694 Remote Similarity NPC32118
0.5676 Remote Similarity NPC191412
0.5676 Remote Similarity NPC114159
0.5676 Remote Similarity NPC6818
0.5652 Remote Similarity NPC604575
0.5641 Remote Similarity NPC96693
0.5616 Remote Similarity NPC61543
0.5616 Remote Similarity NPC271614
0.5616 Remote Similarity NPC293048
0.5616 Remote Similarity NPC225585
0.5616 Remote Similarity NPC130278
0.5616 Remote Similarity NPC111214
0.56 Remote Similarity NPC607666
0.56 Remote Similarity NPC608261
0.56 Remote Similarity NPC611078
0.5556 Remote Similarity NPC474806
0.5556 Remote Similarity NPC133579
0.5526 Remote Similarity NPC117663
0.5526 Remote Similarity NPC481318
0.5479 Remote Similarity NPC37038
0.5467 Remote Similarity NPC35239
0.5417 Remote Similarity NPC43686
0.5395 Remote Similarity NPC127689
0.5333 Remote Similarity NPC87095
0.5333 Remote Similarity NPC136697
0.5325 Remote Similarity NPC174663
0.5316 Remote Similarity NPC481320
0.5278 Remote Similarity NPC280654
0.527 Remote Similarity NPC64872
0.527 Remote Similarity NPC25906
0.5263 Remote Similarity NPC132824
0.525 Remote Similarity NPC481319
0.5195 Remote Similarity NPC62516
0.519 Remote Similarity NPC474727
0.5165 Remote Similarity NPC488214
0.5135 Remote Similarity NPC96916
0.5135 Remote Similarity NPC187722
0.5135 Remote Similarity NPC198664
0.5132 Remote Similarity NPC202728
0.5132 Remote Similarity NPC158059
0.5132 Remote Similarity NPC291028
0.5132 Remote Similarity NPC200752
0.5132 Remote Similarity NPC120840
0.5128 Remote Similarity NPC187933
0.5128 Remote Similarity NPC600832
0.5119 Remote Similarity NPC204407
0.5067 Remote Similarity NPC51700
0.5067 Remote Similarity NPC88716
0.5067 Remote Similarity NPC156981
0.5067 Remote Similarity NPC68160
0.5067 Remote Similarity NPC606443
0.5065 Remote Similarity NPC263393
0.5065 Remote Similarity NPC474963
0.5059 Remote Similarity NPC28198
0.5059 Remote Similarity NPC476123
0.5059 Remote Similarity NPC606107

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC609452 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
NPD

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