Natural Product: NPC611318

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 NPC611318 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
0.878 High Similarity NPC171204
0.878 High Similarity NPC606745
0.7551 Intermediate Similarity NPC470755
0.7551 Intermediate Similarity NPC298801
0.7021 Intermediate Similarity NPC270126
0.68 Remote Similarity NPC481909
0.68 Remote Similarity NPC158756
0.68 Remote Similarity NPC601035
0.6415 Remote Similarity NPC469910
0.64 Remote Similarity NPC250940
0.64 Remote Similarity NPC169575
0.6327 Remote Similarity NPC609300
0.617 Remote Similarity NPC97516
0.6087 Remote Similarity NPC58956
0.6087 Remote Similarity NPC163003
0.6087 Remote Similarity NPC295633
0.6087 Remote Similarity NPC269206
0.6071 Remote Similarity NPC481911
0.6038 Remote Similarity NPC482131
0.6 Remote Similarity NPC476028
0.5918 Remote Similarity NPC488306
0.5849 Remote Similarity NPC178702
0.5686 Remote Similarity NPC610417
0.5556 Remote Similarity NPC473619
0.5536 Remote Similarity NPC481806
0.5536 Remote Similarity NPC269509
0.551 Remote Similarity NPC167881
0.551 Remote Similarity NPC98557
0.5472 Remote Similarity NPC488302
0.5472 Remote Similarity NPC475461
0.5472 Remote Similarity NPC488300
0.5472 Remote Similarity NPC116177
0.5472 Remote Similarity NPC488301
0.5472 Remote Similarity NPC165383
0.5455 Remote Similarity NPC320630
0.5439 Remote Similarity NPC40746
0.537 Remote Similarity NPC473390
0.537 Remote Similarity NPC488296
0.5357 Remote Similarity NPC482130
0.5357 Remote Similarity NPC482128
0.5357 Remote Similarity NPC482129
0.5357 Remote Similarity NPC605339
0.5283 Remote Similarity NPC470256
0.5283 Remote Similarity NPC50637
0.5283 Remote Similarity NPC476355
0.5283 Remote Similarity NPC600792
0.5283 Remote Similarity NPC610427
0.5273 Remote Similarity NPC488298
0.5273 Remote Similarity NPC272814
0.5273 Remote Similarity NPC488297
0.5185 Remote Similarity NPC7563
0.5185 Remote Similarity NPC609663
0.5179 Remote Similarity NPC281132
0.5179 Remote Similarity NPC482126
0.5179 Remote Similarity NPC202672
0.5179 Remote Similarity NPC266957
0.5179 Remote Similarity NPC250315
0.5172 Remote Similarity NPC486031
0.5091 Remote Similarity NPC194871
0.5091 Remote Similarity NPC607063
0.5091 Remote Similarity NPC607495
0.5091 Remote Similarity NPC610688
0.5088 Remote Similarity NPC307411
0.5085 Remote Similarity NPC134725
0.5085 Remote Similarity NPC48657
0.5082 Remote Similarity NPC482132

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC611318 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
NPD

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