CNP0313014.0

17-[4-[[4-hydroxy-3-(4-hydroxy-3,5-dimethoxy-tetrahydropyran-2-yl)oxy-5-(hydroxymethyl)tetrahydrofuran-2-yl]oxymethyl]-1,5-dimethyl-hexyl]-10,13-dimethyl-2,3,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthrene-3,6,15-triol

Created on · Last update on

NPLikeness
NP Likeness Score: The likelihood of the compound to be a natural product, ranges from -5 (less likely) to 5 (very likely).
2.54
Annotation Level
★ ☆ ☆ ☆ ☆
Mol. Weight
742.48673
Mol. Formula
C40H70O12

Representations

Molecular details

COCONUT id
CNP0313014.0
Name
-
IUPAC name
17-[4-[[4-hydroxy-3-(4-hydroxy-3,5-dimethoxy-tetrahydropyran-2-yl)oxy-5-(hydroxymethyl)tetrahydrofuran-2-yl]oxymethyl]-1,5-dimethyl-hexyl]-10,13-dimethyl-2,3,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthrene-3,6,15-triol
InChI
InChI=1S/C40H70O12/c1-20(2)22(18-49-38-36(33(45)30(17-41)51-38)52-37-35(48-7)34(46)31(47-6)19-50-37)9-8-21(3)26-16-29(44)32-24-15-28(43)27-14-23(42)10-12-39(27,4)25(24)11-13-40(26,32)5/h20-38,41-46H,8-19H2,1-7H3
InChIKey
XFGYQNJSCILGFQ-UHFFFAOYSA-N
Canonical SMILES (RDKit)
COC1COC(OC2C(OCC(CCC(C)C3CC(O)C4C5CC(O)C6CC(O)CCC6(C)C5CCC34C)C(C)C)OC(CO)C2O)C(OC)C1O
Murcko Framework
O1CCCCC1OC2CCOC2OCCCCCC3CCC4C3CCC5C6CCCCC6CCC45

Chemical classification

NP Classification

References

Citations

No citations

Collections

UNPD (Universal Natural Products Database)

The Universal Natural Products Database provides a comprehensive collection of natural product structures, their reported biological activities, and virtual screening results. This database offers valuable insights into the chemical diversity and potential pharmaceutical applications of natural compounds. Analysis reveals significant overlap between natural products and FDA-approved drugs in chemical space, suggesting a wealth of potential lead compounds for drug discovery. The database also highlights the polypharmacology of natural products, with many compounds demonstrating interactions with multiple target proteins. To complement existing experimental data, high-throughput virtual screening was conducted against a wide range of target proteins associated with FDA-approved drugs. This approach enabled predictions of the most promising natural products for drug discovery and their potential therapeutic indications. Overall, the Natural Products Database demonstrates that natural compounds possess vast chemical diversity, favourable drug-like properties, and the ability to interact with multiple cellular targets, making them a rich source for pharmaceutical research and development. License: No Licensing information (Cite paper)

10.71606/coconut.cnpc0050

Marine Natural Products

The Marine Natural Product (MNP) library was screened to identify potential inhibitors of the main protease (Mpro) of SARS-CoV-2, the virus responsible for the COVID-19 pandemic. This research builds on previous experiences with SARS and MERS outbreaks, which highlighted the importance of developing targeted drugs against coronaviruses. While some existing medications are being considered for COVID-19 treatment, their efficacy remains unproven. The study employed various computational techniques, including pharmacophore modeling, molecular docking, and dynamics simulations, to analyze marine-derived natural compounds. This comprehensive approach resulted in the identification of several promising Mpro inhibitors from marine sources. The rigorous validation process applied to these compounds suggests a high likelihood of discovering bioactive substances that could potentially contribute to the development of new antiviral treatments for COVID-19. License: No license information provided

10.71606/coconut.cnpc0025

CMNPD

CMNPD, a comprehensive marine natural products database, has been developed to meet the growing need for accessible data resources in marine drug discovery. This open-access platform offers curated data on over 31,000 chemical entities, including their properties, biological activity, source organism information, and literature references. It functions as an integrated tool for various tasks, such as structure dereplication, lead compound discovery, data mining, and chemical ecology investigation. The database is freely available at [https://www.cmnpd.org](https://www.cmnpd.org) and aims to facilitate drug discovery from marine resources for both MNPs researchers and the broader scientific community.

10.71606/coconut.cnpc0062

Super Natural II

Super Natural II is a comprehensive natural product database that serves as a valuable resource for drug discovery and development. This updated version significantly expands upon its predecessor, offering a vast collection of natural compounds along with their structural and physicochemical properties. The database facilitates the exploration of topological pharmacophore patterns shared between natural products and commercial drugs, contributing to a deeper understanding of their potential therapeutic applications. Super Natural II provides users with advanced search capabilities, including template-based similarity searches and substructure queries. Additionally, it offers predicted toxicity information for many compounds and includes vendor details for easy sourcing. The database also integrates pathway information related to the synthesis and degradation of natural products, as well as insights into their mechanisms of action compared to structurally similar drugs and their target proteins. By consolidating this wealth of information into a freely accessible platform, Super Natural II addresses the challenges of scattered or restricted natural product data, supporting researchers in their quest for novel drug candidates inspired by nature. License: No Licensing information (Cite paper)

10.71606/coconut.cnpc0044

Stereochemical Variants

Molecular Properties

  • Mol. Formula : C40H70O12
  • Mol. Weight 742.48673
  • Total atom number : 122
  • Heavy atom number : 52
  • Aromatic Ring Count : 0
  • Rotatable Bond count : 13
  • Minimal number of rings : 6
  • Formal Charge : 122
  • Contains Sugar : True
  • Contains Ring Sugars : True
  • Contains Linear Sugars : False

Molecular Descriptors

  • NP-likeness scores : 2.54
  • Alogp : 2.86
  • TopoPSA : 176.76
  • Fsp3 : 1.00
  • Hydrogen Bond Acceptor Count : 12
  • Hydrogen Bond Donor Count : 6
  • Lipinski Hydrogen Bond Acceptor Count : 12
  • Lipinski Hydrogen Bond Donor Count : 6
  • Lipinski RO5 Violations : 3

Contributors

1
COCONUT Curator
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