Natural Product: NPC545095

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 NPC545095 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 NPC601214
0.7429 Intermediate Similarity NPC96102
0.7222 Intermediate Similarity NPC230869
0.7222 Intermediate Similarity NPC279081
0.7027 Intermediate Similarity NPC29886
0.6842 Remote Similarity NPC84911
0.6667 Remote Similarity NPC73767
0.65 Remote Similarity NPC310665
0.65 Remote Similarity NPC605863
0.6389 Remote Similarity NPC42372
0.619 Remote Similarity NPC78020
0.6176 Remote Similarity NPC261195
0.6136 Remote Similarity NPC14113
0.6136 Remote Similarity NPC145885
0.6136 Remote Similarity NPC84827
0.6111 Remote Similarity NPC216643
0.6111 Remote Similarity NPC288838
0.6047 Remote Similarity NPC315555
0.6047 Remote Similarity NPC55772
0.6047 Remote Similarity NPC59269
0.6047 Remote Similarity NPC600736
0.5946 Remote Similarity NPC105127
0.5946 Remote Similarity NPC53947
0.5946 Remote Similarity NPC102423
0.5946 Remote Similarity NPC300149
0.5946 Remote Similarity NPC230002
0.5909 Remote Similarity NPC149155
0.5909 Remote Similarity NPC203468
0.5909 Remote Similarity NPC190296
0.5909 Remote Similarity NPC110500
0.5909 Remote Similarity NPC605329
0.5778 Remote Similarity NPC480551
0.5778 Remote Similarity NPC489200
0.5778 Remote Similarity NPC480318
0.575 Remote Similarity NPC604154
0.5652 Remote Similarity NPC248041
0.5652 Remote Similarity NPC489095
0.5652 Remote Similarity NPC609424
0.5641 Remote Similarity NPC131718
0.5532 Remote Similarity NPC480317
0.5532 Remote Similarity NPC200214
0.5532 Remote Similarity NPC471957
0.5532 Remote Similarity NPC469358
0.5532 Remote Similarity NPC480316
0.5532 Remote Similarity NPC608269
0.55 Remote Similarity NPC138370
0.5417 Remote Similarity NPC282231
0.5417 Remote Similarity NPC267885
0.5417 Remote Similarity NPC480550
0.5417 Remote Similarity NPC480549
0.5366 Remote Similarity NPC72435
0.5366 Remote Similarity NPC601179
0.5306 Remote Similarity NPC469780
0.5306 Remote Similarity NPC469761
0.5306 Remote Similarity NPC469783
0.5306 Remote Similarity NPC469766
0.5306 Remote Similarity NPC469779
0.5306 Remote Similarity NPC469768
0.5306 Remote Similarity NPC469784
0.5306 Remote Similarity NPC489096
0.5306 Remote Similarity NPC602670
0.5238 Remote Similarity NPC154339
0.5238 Remote Similarity NPC608908
0.52 Remote Similarity NPC283219
0.52 Remote Similarity NPC63751
0.52 Remote Similarity NPC279918
0.5116 Remote Similarity NPC111275
0.5098 Remote Similarity NPC54988
0.5098 Remote Similarity NPC480548
0.5098 Remote Similarity NPC476460
0.5098 Remote Similarity NPC609408

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC545095 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
0.7429 Intermediate Similarity NPD198 Clinical (unspecified phase)
0.65 Remote Similarity NPD786 Pre-clinical
0.5909 Remote Similarity NPD482 Phase 4
0.5778 Remote Similarity NPD749 Clinical (unspecified phase)
0.5532 Remote Similarity NPD1722 Phase 4

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