Natural Product: NPC602949

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 NPC602949 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 NPC122819
0.8889 High Similarity NPC287885
0.8478 Intermediate Similarity NPC15249
0.8478 Intermediate Similarity NPC25455
0.798 Intermediate Similarity NPC150057
0.798 Intermediate Similarity NPC147753
0.7 Intermediate Similarity NPC94272
0.6827 Remote Similarity NPC470433
0.6827 Remote Similarity NPC46190
0.6827 Remote Similarity NPC171073
0.6762 Remote Similarity NPC248746
0.6729 Remote Similarity NPC73243
0.6729 Remote Similarity NPC244086
0.6729 Remote Similarity NPC84956
0.6698 Remote Similarity NPC42171
0.6636 Remote Similarity NPC480555
0.6636 Remote Similarity NPC150372
0.6606 Remote Similarity NPC247037
0.6495 Remote Similarity NPC165439
0.6455 Remote Similarity NPC269297
0.6455 Remote Similarity NPC222202
0.6429 Remote Similarity NPC249265
0.6429 Remote Similarity NPC480554
0.6396 Remote Similarity NPC475333
0.6396 Remote Similarity NPC224098
0.6396 Remote Similarity NPC208383
0.6372 Remote Similarity NPC23808
0.6372 Remote Similarity NPC87998
0.6339 Remote Similarity NPC194207
0.6339 Remote Similarity NPC22779
0.633 Remote Similarity NPC475182
0.6316 Remote Similarity NPC480553
0.6068 Remote Similarity NPC232054
0.6055 Remote Similarity NPC265275
0.605 Remote Similarity NPC480556
0.6 Remote Similarity NPC224314
0.5983 Remote Similarity NPC308140
0.5957 Remote Similarity NPC485606
0.5745 Remote Similarity NPC147835
0.5745 Remote Similarity NPC253645
0.5745 Remote Similarity NPC85001
0.5745 Remote Similarity NPC95920
0.5741 Remote Similarity NPC470432
0.5741 Remote Similarity NPC230507
0.5739 Remote Similarity NPC486386
0.5676 Remote Similarity NPC98696
0.5664 Remote Similarity NPC124677
0.5641 Remote Similarity NPC254255
0.5636 Remote Similarity NPC305423
0.5636 Remote Similarity NPC113044
0.5636 Remote Similarity NPC283829
0.5636 Remote Similarity NPC161676
0.5565 Remote Similarity NPC102016
0.5565 Remote Similarity NPC95051
0.5556 Remote Similarity NPC32361
0.5526 Remote Similarity NPC6806
0.5487 Remote Similarity NPC602423
0.5437 Remote Similarity NPC486114
0.5424 Remote Similarity NPC13193
0.5391 Remote Similarity NPC300557
0.5333 Remote Similarity NPC218571
0.5333 Remote Similarity NPC487615
0.5304 Remote Similarity NPC477809
0.5221 Remote Similarity NPC14704
0.5182 Remote Similarity NPC19400
0.5167 Remote Similarity NPC309278
0.5083 Remote Similarity NPC475550
0.5078 Remote Similarity NPC477808
0.5044 Remote Similarity NPC485595
0.5044 Remote Similarity NPC6295

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC602949 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
1.0 High Similarity NPD8449 Approved
0.798 Intermediate Similarity NPD8450 Suspended

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