Natural Product: NPC607401

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 NPC607401 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 NPC185639
1.0 High Similarity NPC251735
1.0 High Similarity NPC49075
1.0 High Similarity NPC599951
0.9429 High Similarity NPC223690
0.9429 High Similarity NPC9532
0.88 High Similarity NPC24260
0.8421 Intermediate Similarity NPC212237
0.8312 Intermediate Similarity NPC611658
0.8267 Intermediate Similarity NPC274716
0.8267 Intermediate Similarity NPC167116
0.8267 Intermediate Similarity NPC609821
0.8158 Intermediate Similarity NPC181796
0.8158 Intermediate Similarity NPC54654
0.8158 Intermediate Similarity NPC7715
0.8158 Intermediate Similarity NPC328155
0.8158 Intermediate Similarity NPC222661
0.8158 Intermediate Similarity NPC285931
0.8028 Intermediate Similarity NPC76682
0.8028 Intermediate Similarity NPC10908
0.8028 Intermediate Similarity NPC63646
0.8028 Intermediate Similarity NPC317145
0.8028 Intermediate Similarity NPC198498
0.8028 Intermediate Similarity NPC115284
0.7922 Intermediate Similarity NPC290005
0.7714 Intermediate Similarity NPC317272
0.7714 Intermediate Similarity NPC268503
0.7671 Intermediate Similarity NPC276890
0.7561 Intermediate Similarity NPC480590
0.7403 Intermediate Similarity NPC608819
0.7397 Intermediate Similarity NPC256012
0.7397 Intermediate Similarity NPC610965
0.7308 Intermediate Similarity NPC311973
0.7273 Intermediate Similarity NPC480587
0.7262 Intermediate Similarity NPC206900
0.7209 Intermediate Similarity NPC41122
0.7209 Intermediate Similarity NPC318805
0.7195 Intermediate Similarity NPC8836
0.716 Intermediate Similarity NPC16357
0.716 Intermediate Similarity NPC302245
0.7143 Intermediate Similarity NPC480586
0.7089 Intermediate Similarity NPC239824
0.7051 Intermediate Similarity NPC290582
0.7051 Intermediate Similarity NPC217748
0.7051 Intermediate Similarity NPC73492
0.7051 Intermediate Similarity NPC182052
0.7051 Intermediate Similarity NPC271013
0.7051 Intermediate Similarity NPC299990
0.7051 Intermediate Similarity NPC42663
0.7051 Intermediate Similarity NPC15414
0.7013 Intermediate Similarity NPC240841
0.7 Intermediate Similarity NPC254441
0.7 Intermediate Similarity NPC116465
0.6962 Remote Similarity NPC279228
0.6812 Remote Similarity NPC317439
0.6795 Remote Similarity NPC12424
0.6795 Remote Similarity NPC129518
0.6795 Remote Similarity NPC251580
0.6709 Remote Similarity NPC603853
0.6667 Remote Similarity NPC227060
0.6582 Remote Similarity NPC610959
0.641 Remote Similarity NPC480592
0.631 Remote Similarity NPC229373
0.6301 Remote Similarity NPC247639
0.6301 Remote Similarity NPC25084
0.6296 Remote Similarity NPC480591
0.625 Remote Similarity NPC603603
0.6196 Remote Similarity NPC60295
0.6196 Remote Similarity NPC191132
0.619 Remote Similarity NPC601503
0.6146 Remote Similarity NPC475654
0.6129 Remote Similarity NPC175890
0.6087 Remote Similarity NPC85381
0.6071 Remote Similarity NPC600054
0.6071 Remote Similarity NPC601504
0.5957 Remote Similarity NPC201508
0.5909 Remote Similarity NPC139783
0.5909 Remote Similarity NPC65312
0.5909 Remote Similarity NPC475479
0.5909 Remote Similarity NPC323537
0.5909 Remote Similarity NPC611798
0.5843 Remote Similarity NPC485712
0.5843 Remote Similarity NPC275680
0.5843 Remote Similarity NPC22115
0.5795 Remote Similarity NPC195538
0.5732 Remote Similarity NPC41376
0.573 Remote Similarity NPC243454
0.573 Remote Similarity NPC601489
0.573 Remote Similarity NPC604804
0.5714 Remote Similarity NPC10871
0.5667 Remote Similarity NPC605743
0.5658 Remote Similarity NPC104196
0.5517 Remote Similarity NPC286119
0.5479 Remote Similarity NPC185838
0.5432 Remote Similarity NPC30779
0.5263 Remote Similarity NPC11296
0.5263 Remote Similarity NPC281581
0.5263 Remote Similarity NPC254581
0.5263 Remote Similarity NPC135538
0.5263 Remote Similarity NPC274661
0.5263 Remote Similarity NPC24233
0.5263 Remote Similarity NPC82457
0.5208 Remote Similarity NPC485711
0.5169 Remote Similarity NPC600872
0.5139 Remote Similarity NPC314682
0.5102 Remote Similarity NPC475597
0.5068 Remote Similarity NPC213206
0.5068 Remote Similarity NPC188163
0.5068 Remote Similarity NPC328750
0.5053 Remote Similarity NPC239584
0.5051 Remote Similarity NPC234318

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC607401 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
0.8028 Intermediate Similarity NPD8099 Discontinued
0.7368 Intermediate Similarity NPD8156 Discontinued
0.6625 Remote Similarity NPD8095 Phase 1
0.6196 Remote Similarity NPD8053 Approved
0.5957 Remote Similarity NPD8054 Phase 4
0.5068 Remote Similarity NPD4664 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