Natural Product: NPC606657

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 NPC606657 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
0.85 High Similarity NPC611303
0.7386 Intermediate Similarity NPC251417
0.7204 Intermediate Similarity NPC483416
0.6977 Remote Similarity NPC271692
0.6818 Remote Similarity NPC219904
0.6782 Remote Similarity NPC46420
0.6744 Remote Similarity NPC249281
0.6667 Remote Similarity NPC158674
0.6484 Remote Similarity NPC605784
0.6413 Remote Similarity NPC276377
0.6304 Remote Similarity NPC116458
0.6304 Remote Similarity NPC246943
0.62 Remote Similarity NPC483413
0.618 Remote Similarity NPC289667
0.6162 Remote Similarity NPC72016
0.6082 Remote Similarity NPC150164
0.602 Remote Similarity NPC186816
0.6 Remote Similarity NPC209296
0.6 Remote Similarity NPC473327
0.5981 Remote Similarity NPC470716
0.5934 Remote Similarity NPC136042
0.5918 Remote Similarity NPC293626
0.5914 Remote Similarity NPC129217
0.59 Remote Similarity NPC483414
0.59 Remote Similarity NPC483415
0.587 Remote Similarity NPC84362
0.587 Remote Similarity NPC27640
0.5851 Remote Similarity NPC22832
0.5851 Remote Similarity NPC120099
0.5806 Remote Similarity NPC59534
0.58 Remote Similarity NPC64425
0.5773 Remote Similarity NPC487212
0.5761 Remote Similarity NPC297987
0.5761 Remote Similarity NPC265530
0.5699 Remote Similarity NPC305811
0.5686 Remote Similarity NPC32641
0.5686 Remote Similarity NPC256188
0.5686 Remote Similarity NPC35119
0.5684 Remote Similarity NPC21666
0.567 Remote Similarity NPC265115
0.5625 Remote Similarity NPC223747
0.5625 Remote Similarity NPC470719
0.5625 Remote Similarity NPC220169
0.561 Remote Similarity NPC270620
0.5566 Remote Similarity NPC14187
0.5532 Remote Similarity NPC349108
0.5524 Remote Similarity NPC101636
0.5521 Remote Similarity NPC486578
0.5484 Remote Similarity NPC127546
0.5484 Remote Similarity NPC57625
0.5484 Remote Similarity NPC19709
0.5484 Remote Similarity NPC173637
0.5484 Remote Similarity NPC317489
0.5484 Remote Similarity NPC238376
0.5484 Remote Similarity NPC223424
0.5484 Remote Similarity NPC600591
0.5417 Remote Similarity NPC60735
0.5417 Remote Similarity NPC26230
0.5417 Remote Similarity NPC285197
0.5408 Remote Similarity NPC355481
0.5376 Remote Similarity NPC111929
0.5376 Remote Similarity NPC320283
0.5376 Remote Similarity NPC473043
0.5376 Remote Similarity NPC331652
0.5376 Remote Similarity NPC41121
0.5368 Remote Similarity NPC52550
0.5364 Remote Similarity NPC480441
0.5361 Remote Similarity NPC609478
0.534 Remote Similarity NPC240306
0.5333 Remote Similarity NPC142142
0.5333 Remote Similarity NPC486577
0.5319 Remote Similarity NPC108831
0.5319 Remote Similarity NPC182634
0.531 Remote Similarity NPC295625
0.5304 Remote Similarity NPC470720
0.5294 Remote Similarity NPC22062
0.5294 Remote Similarity NPC473634
0.5294 Remote Similarity NPC138811
0.5288 Remote Similarity NPC470443
0.5248 Remote Similarity NPC480466
0.5234 Remote Similarity NPC470445
0.5229 Remote Similarity NPC121703
0.5225 Remote Similarity NPC25523
0.5217 Remote Similarity NPC470717
0.5213 Remote Similarity NPC135599
0.5213 Remote Similarity NPC73855
0.5213 Remote Similarity NPC113968
0.5213 Remote Similarity NPC328940
0.5213 Remote Similarity NPC277174
0.5213 Remote Similarity NPC606877
0.5208 Remote Similarity NPC181712
0.5179 Remote Similarity NPC277532
0.5155 Remote Similarity NPC472459
0.5152 Remote Similarity NPC209023
0.5149 Remote Similarity NPC278419
0.5149 Remote Similarity NPC179198
0.514 Remote Similarity NPC479765
0.514 Remote Similarity NPC483412
0.5104 Remote Similarity NPC95090
0.5104 Remote Similarity NPC27408
0.5089 Remote Similarity NPC470715
0.5089 Remote Similarity NPC164704
0.5085 Remote Similarity NPC175429
0.5053 Remote Similarity NPC160515
0.5048 Remote Similarity NPC126784
0.5048 Remote Similarity NPC241423
0.5048 Remote Similarity NPC153755
0.5047 Remote Similarity NPC5319
0.5047 Remote Similarity NPC488089
0.5043 Remote Similarity NPC488086

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC606657 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
0.6 Remote Similarity NPD7054 Phase 4
0.5577 Remote Similarity NPD7251 Phase 2
0.5514 Remote Similarity NPD7808 Phase 3
0.5047 Remote Similarity NPD7804 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