Natural Product: NPC611516

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 NPC611516 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 NPC304110
1.0 High Similarity NPC27518
0.9186 High Similarity NPC178093
0.8587 High Similarity NPC118033
0.8352 Intermediate Similarity NPC479745
0.8222 Intermediate Similarity NPC25491
0.8111 Intermediate Similarity NPC605663
0.7849 Intermediate Similarity NPC324798
0.7849 Intermediate Similarity NPC479742
0.7717 Intermediate Similarity NPC479744
0.7474 Intermediate Similarity NPC482051
0.7381 Intermediate Similarity NPC230151
0.7368 Intermediate Similarity NPC479747
0.7368 Intermediate Similarity NPC479746
0.71 Intermediate Similarity NPC481234
0.71 Intermediate Similarity NPC479431
0.7021 Intermediate Similarity NPC171007
0.7021 Intermediate Similarity NPC190849
0.7 Intermediate Similarity NPC601567
0.7 Intermediate Similarity NPC606631
0.6979 Remote Similarity NPC172311
0.6957 Remote Similarity NPC485587
0.6882 Remote Similarity NPC173569
0.6667 Remote Similarity NPC479739
0.6633 Remote Similarity NPC482052
0.6598 Remote Similarity NPC101863
0.6471 Remote Similarity NPC479740
0.6471 Remote Similarity NPC479741
0.6465 Remote Similarity NPC54627
0.6465 Remote Similarity NPC249817
0.6429 Remote Similarity NPC22676
0.6337 Remote Similarity NPC475482
0.6061 Remote Similarity NPC477874
0.6019 Remote Similarity NPC482049
0.6019 Remote Similarity NPC482050
0.5978 Remote Similarity NPC233012
0.5882 Remote Similarity NPC198621
0.5882 Remote Similarity NPC216940
0.5843 Remote Similarity NPC485589
0.5761 Remote Similarity NPC485588
0.5686 Remote Similarity NPC475457
0.566 Remote Similarity NPC610795
0.5644 Remote Similarity NPC475138
0.5625 Remote Similarity NPC485585
0.5619 Remote Similarity NPC132126
0.5612 Remote Similarity NPC485882
0.5596 Remote Similarity NPC310729
0.5596 Remote Similarity NPC150310
0.5591 Remote Similarity NPC485586
0.5586 Remote Similarity NPC481235
0.5524 Remote Similarity NPC488214
0.5481 Remote Similarity NPC477873
0.5444 Remote Similarity NPC71074
0.5444 Remote Similarity NPC605937
0.5385 Remote Similarity NPC32407
0.5385 Remote Similarity NPC263548
0.5385 Remote Similarity NPC606320
0.5333 Remote Similarity NPC51700
0.5333 Remote Similarity NPC488215
0.5333 Remote Similarity NPC88716
0.5333 Remote Similarity NPC68160
0.5283 Remote Similarity NPC262970
0.5243 Remote Similarity NPC182249
0.5243 Remote Similarity NPC473591
0.5243 Remote Similarity NPC248287
0.5243 Remote Similarity NPC234548
0.5217 Remote Similarity NPC173089
0.5217 Remote Similarity NPC87095
0.5143 Remote Similarity NPC26045
0.5109 Remote Similarity NPC61543
0.5109 Remote Similarity NPC293048
0.5109 Remote Similarity NPC225585
0.5098 Remote Similarity NPC177246
0.5098 Remote Similarity NPC470617
0.5098 Remote Similarity NPC470616
0.5045 Remote Similarity NPC475454
0.5045 Remote Similarity NPC473579
0.5043 Remote Similarity NPC53520

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC611516 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