Natural Product: NPC605821

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 NPC605821 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
0.9286 High Similarity NPC95145
0.9286 High Similarity NPC325642
0.9286 High Similarity NPC65174
0.8571 High Similarity NPC281245
0.8276 Intermediate Similarity NPC424
0.8276 Intermediate Similarity NPC36061
0.8276 Intermediate Similarity NPC69510
0.8276 Intermediate Similarity NPC77272
0.8276 Intermediate Similarity NPC290563
0.8276 Intermediate Similarity NPC139029
0.8276 Intermediate Similarity NPC281972
0.8276 Intermediate Similarity NPC261831
0.8276 Intermediate Similarity NPC87564
0.7667 Intermediate Similarity NPC92114
0.75 Intermediate Similarity NPC154245
0.75 Intermediate Similarity NPC85813
0.75 Intermediate Similarity NPC223697
0.75 Intermediate Similarity NPC6095
0.7188 Intermediate Similarity NPC321062
0.697 Remote Similarity NPC52955
0.697 Remote Similarity NPC88966
0.697 Remote Similarity NPC25417
0.697 Remote Similarity NPC1813
0.6842 Remote Similarity NPC251042
0.6842 Remote Similarity NPC255863
0.6842 Remote Similarity NPC174447
0.6842 Remote Similarity NPC136164
0.6842 Remote Similarity NPC122521
0.6842 Remote Similarity NPC245947
0.6786 Remote Similarity NPC171736
0.6786 Remote Similarity NPC301585
0.6786 Remote Similarity NPC261080
0.6786 Remote Similarity NPC132565
0.6786 Remote Similarity NPC209970
0.6786 Remote Similarity NPC216630
0.6786 Remote Similarity NPC201844
0.6786 Remote Similarity NPC301696
0.6786 Remote Similarity NPC196924
0.6786 Remote Similarity NPC307783
0.6786 Remote Similarity NPC154186
0.6786 Remote Similarity NPC149184
0.6786 Remote Similarity NPC279026
0.6786 Remote Similarity NPC113928
0.6786 Remote Similarity NPC14227
0.6667 Remote Similarity NPC180534
0.6667 Remote Similarity NPC5413
0.6667 Remote Similarity NPC318420
0.6667 Remote Similarity NPC70387
0.6667 Remote Similarity NPC326268
0.6667 Remote Similarity NPC611531
0.6471 Remote Similarity NPC59051
0.6429 Remote Similarity NPC155263
0.6316 Remote Similarity NPC106851
0.6316 Remote Similarity NPC282788
0.6316 Remote Similarity NPC274927
0.6316 Remote Similarity NPC477201
0.6296 Remote Similarity NPC214610
0.6296 Remote Similarity NPC118968
0.6296 Remote Similarity NPC183424
0.6296 Remote Similarity NPC294085
0.625 Remote Similarity NPC34416
0.6216 Remote Similarity NPC225929
0.6216 Remote Similarity NPC606120
0.6176 Remote Similarity NPC91495
0.6154 Remote Similarity NPC179764
0.6071 Remote Similarity NPC175342
0.6061 Remote Similarity NPC184171
0.6 Remote Similarity NPC243532
0.5926 Remote Similarity NPC268826
0.5882 Remote Similarity NPC149821
0.5854 Remote Similarity NPC68343
0.5854 Remote Similarity NPC328089
0.5789 Remote Similarity NPC487561
0.5625 Remote Similarity NPC55023
0.5625 Remote Similarity NPC21844
0.561 Remote Similarity NPC187777
0.561 Remote Similarity NPC473863
0.5588 Remote Similarity NPC8219
0.5556 Remote Similarity NPC174368
0.5556 Remote Similarity NPC174560
0.5556 Remote Similarity NPC125312
0.5484 Remote Similarity NPC604140
0.5429 Remote Similarity NPC18712
0.5429 Remote Similarity NPC74845
0.5429 Remote Similarity NPC207292
0.5366 Remote Similarity NPC274290
0.5357 Remote Similarity NPC134782
0.5349 Remote Similarity NPC320642
0.5349 Remote Similarity NPC329550
0.5294 Remote Similarity NPC314679
0.5278 Remote Similarity NPC87394
0.5278 Remote Similarity NPC48162
0.5278 Remote Similarity NPC324004
0.5278 Remote Similarity NPC328497
0.5278 Remote Similarity NPC602547
0.5263 Remote Similarity NPC40082
0.5238 Remote Similarity NPC318814
0.5238 Remote Similarity NPC320669
0.5227 Remote Similarity NPC323045
0.5227 Remote Similarity NPC49863
0.5227 Remote Similarity NPC317881
0.5217 Remote Similarity NPC92558
0.5143 Remote Similarity NPC129972
0.5143 Remote Similarity NPC301528
0.5143 Remote Similarity NPC71317
0.5143 Remote Similarity NPC163746
0.5143 Remote Similarity NPC103286
0.5122 Remote Similarity NPC28205
0.5111 Remote Similarity NPC322461

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC605821 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
0.8276 Intermediate Similarity NPD3195 Phase 2
0.8276 Intermediate Similarity NPD3196 Approved
0.75 Intermediate Similarity NPD4266 Phase 2
0.697 Remote Similarity NPD3172 Approved
0.6786 Remote Similarity NPD2270 Pre-clinical
0.6786 Remote Similarity NPD633 Phase 3
0.6786 Remote Similarity NPD9448 Phase 2
0.6667 Remote Similarity NPD3173 Phase 4
0.6667 Remote Similarity NPD3194 Phase 4
0.6667 Remote Similarity NPD622 Pre-clinical
0.6296 Remote Similarity NPD9655 Phase 4
0.5854 Remote Similarity NPD39 Phase 4
0.5278 Remote Similarity NPD3199 Clinical (unspecified phase)
0.5227 Remote Similarity NPD4247 Clinical (unspecified phase)

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