Natural Product: NPC602967

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 NPC602967 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 NPC204693
0.8395 Intermediate Similarity NPC211594
0.8256 Intermediate Similarity NPC483707
0.8214 Intermediate Similarity NPC22062
0.8214 Intermediate Similarity NPC473634
0.8214 Intermediate Similarity NPC138811
0.7253 Intermediate Similarity NPC209296
0.7229 Intermediate Similarity NPC186807
0.7079 Intermediate Similarity NPC44931
0.6932 Remote Similarity NPC172807
0.6897 Remote Similarity NPC99957
0.6882 Remote Similarity NPC473623
0.6813 Remote Similarity NPC210073
0.6809 Remote Similarity NPC488089
0.6786 Remote Similarity NPC58053
0.6667 Remote Similarity NPC254540
0.6667 Remote Similarity NPC475366
0.6633 Remote Similarity NPC11468
0.6275 Remote Similarity NPC473644
0.625 Remote Similarity NPC105025
0.6237 Remote Similarity NPC295613
0.6237 Remote Similarity NPC187379
0.6237 Remote Similarity NPC473657
0.6214 Remote Similarity NPC311850
0.6146 Remote Similarity NPC46202
0.6111 Remote Similarity NPC609451
0.6038 Remote Similarity NPC68592
0.6 Remote Similarity NPC101636
0.6 Remote Similarity NPC201292
0.5938 Remote Similarity NPC475155
0.59 Remote Similarity NPC475382
0.59 Remote Similarity NPC473073
0.5889 Remote Similarity NPC181712
0.587 Remote Similarity NPC605067
0.5856 Remote Similarity NPC262222
0.5833 Remote Similarity NPC67105
0.5806 Remote Similarity NPC602805
0.5778 Remote Similarity NPC93337
0.5778 Remote Similarity NPC95090
0.5778 Remote Similarity NPC27408
0.5773 Remote Similarity NPC473512
0.5773 Remote Similarity NPC233994
0.5773 Remote Similarity NPC129827
0.5769 Remote Similarity NPC145379
0.5758 Remote Similarity NPC470443
0.5741 Remote Similarity NPC488086
0.5714 Remote Similarity NPC473571
0.5714 Remote Similarity NPC110941
0.5714 Remote Similarity NPC186816
0.5701 Remote Similarity NPC488087
0.57 Remote Similarity NPC473327
0.567 Remote Similarity NPC227508
0.5657 Remote Similarity NPC284277
0.5657 Remote Similarity NPC126784
0.5657 Remote Similarity NPC241423
0.5657 Remote Similarity NPC475497
0.5631 Remote Similarity NPC135358
0.56 Remote Similarity NPC211532
0.56 Remote Similarity NPC488364
0.5556 Remote Similarity NPC257566
0.5556 Remote Similarity NPC331652
0.5556 Remote Similarity NPC488083
0.5545 Remote Similarity NPC198199
0.5543 Remote Similarity NPC45638
0.5534 Remote Similarity NPC298171
0.551 Remote Similarity NPC15358
0.5474 Remote Similarity NPC607707
0.5446 Remote Similarity NPC65711
0.5405 Remote Similarity NPC298666
0.5398 Remote Similarity NPC120952
0.5385 Remote Similarity NPC473043
0.5385 Remote Similarity NPC114740
0.5354 Remote Similarity NPC173582
0.5354 Remote Similarity NPC265885
0.5354 Remote Similarity NPC181465
0.5354 Remote Similarity NPC215710
0.5354 Remote Similarity NPC473438
0.5354 Remote Similarity NPC253788
0.5347 Remote Similarity NPC64051
0.5326 Remote Similarity NPC19709
0.53 Remote Similarity NPC203259
0.53 Remote Similarity NPC65563
0.53 Remote Similarity NPC33054
0.53 Remote Similarity NPC470949
0.53 Remote Similarity NPC176740
0.53 Remote Similarity NPC471725
0.53 Remote Similarity NPC303913
0.53 Remote Similarity NPC134532
0.53 Remote Similarity NPC602582
0.5294 Remote Similarity NPC469622
0.5288 Remote Similarity NPC476472
0.5288 Remote Similarity NPC294815
0.5288 Remote Similarity NPC16194
0.5288 Remote Similarity NPC477629
0.5283 Remote Similarity NPC244875
0.5243 Remote Similarity NPC229409
0.5213 Remote Similarity NPC27640
0.5208 Remote Similarity NPC243930
0.5208 Remote Similarity NPC181616
0.52 Remote Similarity NPC39834
0.5192 Remote Similarity NPC142142
0.5192 Remote Similarity NPC270675
0.5192 Remote Similarity NPC195685
0.5161 Remote Similarity NPC143851
0.5158 Remote Similarity NPC27942
0.5146 Remote Similarity NPC483414
0.5146 Remote Similarity NPC483415
0.514 Remote Similarity NPC475261
0.5138 Remote Similarity NPC472993
0.5096 Remote Similarity NPC483416
0.5096 Remote Similarity NPC257714
0.5094 Remote Similarity NPC287889
0.5089 Remote Similarity NPC488088
0.5052 Remote Similarity NPC22832
0.5052 Remote Similarity NPC21666
0.5047 Remote Similarity NPC472994

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC602967 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
0.7253 Intermediate Similarity NPD7054 Phase 4
0.63 Remote Similarity NPD7472 Pre-clinical
0.5673 Remote Similarity NPD7808 Phase 3
0.5437 Remote Similarity NPD7251 Phase 2
0.53 Remote Similarity NPD6797 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