Natural Product: NPC611408

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 NPC611408 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 NPC103534
1.0 High Similarity NPC44899
1.0 High Similarity NPC304260
1.0 High Similarity NPC29639
0.7857 Intermediate Similarity NPC488935
0.7857 Intermediate Similarity NPC5883
0.7857 Intermediate Similarity NPC488936
0.7778 Intermediate Similarity NPC99080
0.7683 Intermediate Similarity NPC84949
0.7683 Intermediate Similarity NPC480562
0.7683 Intermediate Similarity NPC74945
0.7683 Intermediate Similarity NPC31354
0.7683 Intermediate Similarity NPC69576
0.6842 Remote Similarity NPC488943
0.6842 Remote Similarity NPC488938
0.6842 Remote Similarity NPC488937
0.6842 Remote Similarity NPC488942
0.6737 Remote Similarity NPC475219
0.6517 Remote Similarity NPC483822
0.6436 Remote Similarity NPC488945
0.6436 Remote Similarity NPC488946
0.6373 Remote Similarity NPC488947
0.6341 Remote Similarity NPC119855
0.6154 Remote Similarity NPC484202
0.6154 Remote Similarity NPC93883
0.6136 Remote Similarity NPC471633
0.6 Remote Similarity NPC479356
0.6 Remote Similarity NPC34390
0.6 Remote Similarity NPC479355
0.6 Remote Similarity NPC477580
0.5934 Remote Similarity NPC199428
0.5934 Remote Similarity NPC109448
0.5934 Remote Similarity NPC152615
0.5934 Remote Similarity NPC310341
0.587 Remote Similarity NPC180079
0.5745 Remote Similarity NPC193893
0.5684 Remote Similarity NPC72260
0.5657 Remote Similarity NPC55532
0.5604 Remote Similarity NPC99620
0.5532 Remote Similarity NPC290693
0.5392 Remote Similarity NPC486146
0.5368 Remote Similarity NPC484212
0.5319 Remote Similarity NPC5311
0.53 Remote Similarity NPC603096
0.5258 Remote Similarity NPC268326
0.5258 Remote Similarity NPC153085
0.5248 Remote Similarity NPC231518
0.5248 Remote Similarity NPC488944
0.5234 Remote Similarity NPC74259
0.5234 Remote Similarity NPC475419
0.5196 Remote Similarity NPC486143
0.5196 Remote Similarity NPC486142
0.5196 Remote Similarity NPC486149
0.5185 Remote Similarity NPC474908
0.5152 Remote Similarity NPC157817
0.5152 Remote Similarity NPC173555
0.5093 Remote Similarity NPC120390
0.5053 Remote Similarity NPC481208
0.5052 Remote Similarity NPC250556
0.505 Remote Similarity NPC115349
0.5047 Remote Similarity NPC329636
0.5046 Remote Similarity NPC486134
0.5046 Remote Similarity NPC486141
0.5045 Remote Similarity NPC474423

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC611408 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
0.6667 Remote Similarity NPD8377 Phase 4
0.6082 Remote Similarity NPD8378 Pre-clinical
0.6082 Remote Similarity NPD8379 Approved
0.5684 Remote Similarity NPD8294 Phase 4
0.5248 Remote Similarity NPD8033 Approved
0.5208 Remote Similarity NPD8335 Phase 4
0.5155 Remote Similarity NPD7516 Pre-clinical
0.5155 Remote Similarity NPD8380 Approved
0.5152 Remote Similarity NPD8296 Phase 4
0.5052 Remote Similarity NPD7507 Pre-clinical

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