Natural Product: NPC274392

Natural Product IDNPC274392
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
HHYXHNSYWAYIPS-UHFFFAOYSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier n.a.
PubChem CID 5319720
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0002566] Isoquinolines and derivatives
        • [CHEMONTID:0000054] Benzylisoquinolines

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey HHYXHNSYWAYIPS-UHFFFAOYSA-N
Standard InCHI InChI=1S/C19H23NO2/c1-20-11-10-15-13-17(22-3)8-9-18(15)19(20)12-14-4-6-16(21-2)7-5-14/h4-9,13,19H,10-12H2,1-3H3
SMILES CN1CCc2cc(ccc2C1Cc1ccc(cc1)OC)OC

  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
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. PMID[19919095]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. leaf n.a. PMID[21384845]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota Leaves Huangshan, Anhui Province, China 2008-NOV PMID[21384845]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota flower buds and leaves Khon Kaen province, Thailand 2010 PMID[23270663]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. PMID[23632365]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Leaves n.a. n.a. PMID[23642481]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Flowers n.a. n.a. PMID[26462418]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Rhizome n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7372 Rosa laevigata Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

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 NPC274392 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
0.8222 Intermediate Similarity NPC314682
0.6939 Remote Similarity NPC213206
0.6939 Remote Similarity NPC188163
0.6939 Remote Similarity NPC328750
0.6226 Remote Similarity NPC185838
0.6182 Remote Similarity NPC135538
0.6182 Remote Similarity NPC24233
0.614 Remote Similarity NPC247639
0.614 Remote Similarity NPC25084
0.6111 Remote Similarity NPC609731
0.6 Remote Similarity NPC147390
0.6 Remote Similarity NPC428
0.5873 Remote Similarity NPC256012
0.5873 Remote Similarity NPC610965
0.5645 Remote Similarity NPC317272
0.5645 Remote Similarity NPC268503
0.5614 Remote Similarity NPC321505
0.5614 Remote Similarity NPC179825
0.5439 Remote Similarity NPC191376
0.5417 Remote Similarity NPC470926
0.5345 Remote Similarity NPC317439
0.5211 Remote Similarity NPC600054
0.5211 Remote Similarity NPC601504
0.5147 Remote Similarity NPC603603
0.5088 Remote Similarity NPC474915
0.5082 Remote Similarity NPC104196
0.5082 Remote Similarity NPC27887
0.5075 Remote Similarity NPC76682
0.5075 Remote Similarity NPC10908
0.5075 Remote Similarity NPC63646
0.5075 Remote Similarity NPC317145
0.5075 Remote Similarity NPC198498
0.5075 Remote Similarity NPC115284
0.5072 Remote Similarity NPC240841

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC274392 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
0.6939 Remote Similarity NPD4664 Clinical (unspecified phase)
0.5075 Remote Similarity NPD8099 Discontinued

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