Natural Product: NPC607210

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 NPC607210 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 NPC324198
1.0 High Similarity NPC326529
1.0 High Similarity NPC319100
0.9375 High Similarity NPC606410
0.9219 High Similarity NPC174802
0.8939 High Similarity NPC323091
0.8615 High Similarity NPC130586
0.8125 Intermediate Similarity NPC185991
0.8125 Intermediate Similarity NPC321814
0.7619 Intermediate Similarity NPC136349
0.7619 Intermediate Similarity NPC219313
0.7606 Intermediate Similarity NPC316618
0.7024 Intermediate Similarity NPC21461
0.6957 Remote Similarity NPC328479
0.6757 Remote Similarity NPC161224
0.6757 Remote Similarity NPC481375
0.6712 Remote Similarity NPC324484
0.6712 Remote Similarity NPC321458
0.6705 Remote Similarity NPC90902
0.6562 Remote Similarity NPC156461
0.6562 Remote Similarity NPC107374
0.6562 Remote Similarity NPC600382
0.6562 Remote Similarity NPC612067
0.6528 Remote Similarity NPC302778
0.6528 Remote Similarity NPC329404
0.6528 Remote Similarity NPC212551
0.6508 Remote Similarity NPC317821
0.6494 Remote Similarity NPC484199
0.641 Remote Similarity NPC484196
0.6081 Remote Similarity NPC324033
0.5957 Remote Similarity NPC611055
0.5946 Remote Similarity NPC164952
0.5904 Remote Similarity NPC326082
0.5842 Remote Similarity NPC158055
0.5811 Remote Similarity NPC121222
0.5789 Remote Similarity NPC195140
0.5733 Remote Similarity NPC472816
0.5733 Remote Similarity NPC600171
0.5616 Remote Similarity NPC261595
0.5616 Remote Similarity NPC85689
0.5507 Remote Similarity NPC229974
0.5405 Remote Similarity NPC211025
0.5309 Remote Similarity NPC606116
0.5204 Remote Similarity NPC189261
0.5152 Remote Similarity NPC19024
0.5139 Remote Similarity NPC309832
0.5122 Remote Similarity NPC325906
0.51 Remote Similarity NPC117683
0.507 Remote Similarity NPC209525
0.507 Remote Similarity NPC161659

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC607210 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
0.9219 High Similarity NPD339 Phase 2
0.8125 Intermediate Similarity NPD283 Phase 4
0.7619 Intermediate Similarity NPD548 Clinical (unspecified phase)
0.7101 Intermediate Similarity NPD4171 Clinical (unspecified phase)
0.6901 Remote Similarity NPD338 Approved
0.6705 Remote Similarity NPD4716 Approved
0.6562 Remote Similarity NPD249 Phase 4
0.6562 Remote Similarity NPD250 Phase 4
0.5946 Remote Similarity NPD242 Phase 4
0.5842 Remote Similarity NPD6840 Pre-clinical
0.5616 Remote Similarity NPD247 Clinical (unspecified phase)
0.5393 Remote Similarity NPD1412 Clinical (unspecified phase)
0.5181 Remote Similarity NPD1776 Approved
0.5122 Remote Similarity NPD1777 Phase 4
0.51 Remote Similarity NPD4744 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