Natural Product: NPC309832

Natural Product IDNPC309832
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
5-(6-Amino-Purin-9-Yl)-2-Hydroxymethyl-4-Methoxy-Tetrahydro-Furan-3-Ol
IUPAC Name (2R,3R,4R,5R)-5-(6-aminopurin-9-yl)-2-(hydroxymethyl)-4-methoxyoxolan-3-ol
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL73237
PubChem CID 102213
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000289] Nucleosides, nucleotides, and analogues
      • [CHEMONTID:0000479] Purine nucleosides

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 FPUGCISOLXNPPC-IOSLPCCCSA-N
Standard InCHI InChI=1S/C11H15N5O4/c1-19-8-7(18)5(2-17)20-11(8)16-4-15-6-9(12)13-3-14-10(6)16/h3-5,7-8,11,17-18H,2H2,1H3,(H2,12,13,14)/t5-,7-,8-,11-/m1/s1
SMILES CO[C@@H]1[C@H](O)[C@H](O[C@H]1n1cnc2c1ncnc2N)CO

  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
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. mycelium n.a. PMID[10423860]
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. n.a. n.a. PMID[15863936]
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. mycelium n.a. PMID[21848266]
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. n.a. n.a. PMID[21848266]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO30270 Cordyceps sinensis Species Cordycipitaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO27451 Ophiocordyceps sinensis Species Ophiocordycipitaceae 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
NPT1758 Individual protein Hepatitis C virus NS5B RNA-dependent RNA polymerase Hepatitis C virus IC50 = 47000.0 nM PMID[15084127]
NPT1758 Individual protein Hepatitis C virus NS5B RNA-dependent RNA polymerase Hepatitis C virus EC50 > 50000.0 nM PMID[15084127]
NPT1315 Individual protein Adenosine A1 receptor Rattus norvegicus Displacement = 29.0 % PMID[7707320]
NPT1316 Individual protein Adenosine A2a receptor Rattus norvegicus Displacement = 49.0 % PMID[7707320]
NPT1760 Individual protein Adenosine A3 receptor Rattus norvegicus Displacement = 43.0 % PMID[7707320]
NPT218 Individual protein Adenosine A3 receptor Homo sapiens EC50 > 100000.0 nM PMID[17560111]
NPT218 Individual protein Adenosine A3 receptor Homo sapiens IC50 = 15.0 nM PMID[17560111]
NPT218 Individual protein Adenosine A3 receptor Homo sapiens Imax = 100.0 % PMID[17560111]
NPT216 Individual protein Adenosine A1 receptor Homo sapiens EC50 > 3000.0 nM PMID[17560111]
NPT216 Individual protein Adenosine A1 receptor Homo sapiens IC50 > 3000.0 nM PMID[17560111]

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 NPC309832 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
0.807 Intermediate Similarity NPC211025
0.6667 Remote Similarity NPC156461
0.6667 Remote Similarity NPC107374
0.6667 Remote Similarity NPC600382
0.6667 Remote Similarity NPC612067
0.6552 Remote Similarity NPC209525
0.6552 Remote Similarity NPC161659
0.6441 Remote Similarity NPC609472
0.6316 Remote Similarity NPC317821
0.6271 Remote Similarity NPC229974
0.6102 Remote Similarity NPC33996
0.5873 Remote Similarity NPC136349
0.5873 Remote Similarity NPC219313
0.5606 Remote Similarity NPC85689
0.5484 Remote Similarity NPC604998
0.5217 Remote Similarity NPC185991
0.5217 Remote Similarity NPC321814
0.5143 Remote Similarity NPC328479
0.5143 Remote Similarity NPC121222
0.5139 Remote Similarity NPC324198
0.5139 Remote Similarity NPC326529
0.5139 Remote Similarity NPC319100
0.5132 Remote Similarity NPC607463
0.507 Remote Similarity NPC164952
0.5068 Remote Similarity NPC130586
0.5063 Remote Similarity NPC78941
0.5063 Remote Similarity NPC282458
0.5057 Remote Similarity NPC157821

Similar Clinical/Approved Drugs

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

●  The left chart: Distribution of similarity level between NPC309832 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
0.6769 Remote Similarity NPD2646 Discontinued
0.6667 Remote Similarity NPD249 Phase 4
0.6667 Remote Similarity NPD250 Phase 4
0.5873 Remote Similarity NPD548 Clinical (unspecified phase)
0.5806 Remote Similarity NPD193 Phase 2
0.5217 Remote Similarity NPD283 Phase 4
0.507 Remote Similarity NPD4171 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