Natural Product: NPC602466

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 NPC602466 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 NPC476480
1.0 High Similarity NPC84585
0.8571 High Similarity NPC329225
0.8571 High Similarity NPC147686
0.7609 Intermediate Similarity NPC264083
0.7447 Intermediate Similarity NPC1612
0.7447 Intermediate Similarity NPC183959
0.6875 Remote Similarity NPC472460
0.6809 Remote Similarity NPC265871
0.6809 Remote Similarity NPC205093
0.66 Remote Similarity NPC99597
0.6591 Remote Similarity NPC314329
0.6591 Remote Similarity NPC603208
0.6531 Remote Similarity NPC243083
0.6531 Remote Similarity NPC13768
0.6531 Remote Similarity NPC287246
0.6481 Remote Similarity NPC143896
0.6327 Remote Similarity NPC225153
0.6327 Remote Similarity NPC479876
0.625 Remote Similarity NPC221432
0.625 Remote Similarity NPC257097
0.614 Remote Similarity NPC68104
0.6078 Remote Similarity NPC312391
0.5932 Remote Similarity NPC474033
0.5918 Remote Similarity NPC485642
0.5918 Remote Similarity NPC611561
0.5882 Remote Similarity NPC32441
0.5882 Remote Similarity NPC148011
0.5882 Remote Similarity NPC204515
0.5882 Remote Similarity NPC79943
0.5833 Remote Similarity NPC23728
0.5818 Remote Similarity NPC35150
0.5818 Remote Similarity NPC106328
0.5769 Remote Similarity NPC150648
0.5738 Remote Similarity NPC291508
0.5686 Remote Similarity NPC188243
0.5686 Remote Similarity NPC110228
0.566 Remote Similarity NPC255106
0.566 Remote Similarity NPC482119
0.566 Remote Similarity NPC235165
0.566 Remote Similarity NPC482120
0.566 Remote Similarity NPC324386
0.5645 Remote Similarity NPC474034
0.5625 Remote Similarity NPC170475
0.5556 Remote Similarity NPC210084
0.5517 Remote Similarity NPC39329
0.5517 Remote Similarity NPC51032
0.5472 Remote Similarity NPC37392
0.5472 Remote Similarity NPC177354
0.5417 Remote Similarity NPC228184
0.537 Remote Similarity NPC300668
0.537 Remote Similarity NPC194432
0.537 Remote Similarity NPC329203
0.537 Remote Similarity NPC222342
0.5283 Remote Similarity NPC248372
0.5273 Remote Similarity NPC486095
0.5273 Remote Similarity NPC606248
0.5254 Remote Similarity NPC39045
0.5147 Remote Similarity NPC209040
0.5147 Remote Similarity NPC110303
0.5147 Remote Similarity NPC601247
0.5094 Remote Similarity NPC213322
0.5091 Remote Similarity NPC274784
0.5091 Remote Similarity NPC20709
0.5091 Remote Similarity NPC107586
0.5085 Remote Similarity NPC169591
0.5085 Remote Similarity NPC298223
0.5085 Remote Similarity NPC604412
0.5082 Remote Similarity NPC470135

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC602466 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
0.8571 High Similarity NPD1549 Phase 2
0.6591 Remote Similarity NPD1547 Clinical (unspecified phase)
0.6531 Remote Similarity NPD1550 Phase 2
0.5882 Remote Similarity NPD1552 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