Natural Product: NPC602672

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 NPC602672 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 NPC290598
1.0 High Similarity NPC30590
0.8269 Intermediate Similarity NPC101475
0.8269 Intermediate Similarity NPC196753
0.8113 Intermediate Similarity NPC235341
0.7679 Intermediate Similarity NPC246708
0.7636 Intermediate Similarity NPC470588
0.7593 Intermediate Similarity NPC34177
0.7455 Intermediate Similarity NPC253807
0.7455 Intermediate Similarity NPC158662
0.7407 Intermediate Similarity NPC474989
0.7358 Intermediate Similarity NPC27765
0.7358 Intermediate Similarity NPC122418
0.7358 Intermediate Similarity NPC491014
0.7037 Intermediate Similarity NPC601696
0.6964 Remote Similarity NPC311078
0.6842 Remote Similarity NPC475862
0.6721 Remote Similarity NPC171203
0.6721 Remote Similarity NPC307426
0.6721 Remote Similarity NPC98442
0.6721 Remote Similarity NPC488519
0.6721 Remote Similarity NPC242468
0.6552 Remote Similarity NPC478657
0.6552 Remote Similarity NPC480924
0.6316 Remote Similarity NPC142754
0.629 Remote Similarity NPC172361
0.6271 Remote Similarity NPC40394
0.6271 Remote Similarity NPC195334
0.619 Remote Similarity NPC7260
0.619 Remote Similarity NPC210037
0.619 Remote Similarity NPC120968
0.619 Remote Similarity NPC227467
0.619 Remote Similarity NPC273621
0.6167 Remote Similarity NPC230295
0.6167 Remote Similarity NPC53744
0.6167 Remote Similarity NPC159168
0.6167 Remote Similarity NPC95594
0.6167 Remote Similarity NPC98386
0.614 Remote Similarity NPC120098
0.6066 Remote Similarity NPC480950
0.6056 Remote Similarity NPC167383
0.6032 Remote Similarity NPC480946
0.6032 Remote Similarity NPC130577
0.6032 Remote Similarity NPC142415
0.6032 Remote Similarity NPC102683
0.6032 Remote Similarity NPC610937
0.6 Remote Similarity NPC49776
0.6 Remote Similarity NPC63118
0.6 Remote Similarity NPC474436
0.5968 Remote Similarity NPC40552
0.5902 Remote Similarity NPC238992
0.5873 Remote Similarity NPC477579
0.5833 Remote Similarity NPC132478
0.5821 Remote Similarity NPC294360
0.5781 Remote Similarity NPC213412
0.5781 Remote Similarity NPC10005
0.5781 Remote Similarity NPC91525
0.5781 Remote Similarity NPC136313
0.5781 Remote Similarity NPC2539
0.5738 Remote Similarity NPC291379
0.5714 Remote Similarity NPC231431
0.5692 Remote Similarity NPC112866
0.5672 Remote Similarity NPC263393
0.5625 Remote Similarity NPC477872
0.5606 Remote Similarity NPC18872
0.5606 Remote Similarity NPC290614
0.5574 Remote Similarity NPC237344
0.5556 Remote Similarity NPC133954
0.5538 Remote Similarity NPC187722
0.5538 Remote Similarity NPC191965
0.5522 Remote Similarity NPC228784
0.5522 Remote Similarity NPC324341
0.5522 Remote Similarity NPC164349
0.5522 Remote Similarity NPC601810
0.55 Remote Similarity NPC474488
0.5484 Remote Similarity NPC471899
0.5455 Remote Similarity NPC182797
0.5455 Remote Similarity NPC51700
0.5455 Remote Similarity NPC88716
0.5455 Remote Similarity NPC68160
0.5455 Remote Similarity NPC52169
0.5455 Remote Similarity NPC488562
0.5455 Remote Similarity NPC606443
0.5439 Remote Similarity NPC472805
0.5439 Remote Similarity NPC90979
0.5397 Remote Similarity NPC224145
0.5397 Remote Similarity NPC3915
0.5385 Remote Similarity NPC17733
0.5385 Remote Similarity NPC137306
0.5385 Remote Similarity NPC470629
0.5303 Remote Similarity NPC214756
0.5303 Remote Similarity NPC198664
0.5303 Remote Similarity NPC295643
0.5294 Remote Similarity NPC202728
0.5294 Remote Similarity NPC158059
0.5294 Remote Similarity NPC293564
0.5263 Remote Similarity NPC237503
0.5224 Remote Similarity NPC195019
0.5217 Remote Similarity NPC480919
0.5172 Remote Similarity NPC138374
0.5172 Remote Similarity NPC34700
0.5156 Remote Similarity NPC253402
0.5152 Remote Similarity NPC162107
0.5152 Remote Similarity NPC46912
0.5147 Remote Similarity NPC23621
0.5139 Remote Similarity NPC471433
0.5139 Remote Similarity NPC283343
0.5139 Remote Similarity NPC471432
0.5077 Remote Similarity NPC267517
0.5072 Remote Similarity NPC29765
0.507 Remote Similarity NPC488520
0.5068 Remote Similarity NPC473160

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC602672 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
0.5938 Remote Similarity NPD7645 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