Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Molecular Docking and ADMET Analysis of Selected NSAIDs Against Cox-1 Enzyme

Authors: Omkar Beldar*, Dr. Rasika Devale, Sumit Dole;

Molecular Docking and ADMET Analysis of Selected NSAIDs Against Cox-1 Enzyme

Abstract

Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used for the treatment of pain, inflammation, and fever due to their effectiveness and accessibility. These drugs exert their therapeutic action primarily by inhibiting cyclooxygenase (COX) enzymes, thereby reducing the synthesis of prostaglandins, which are key mediators of inflammation and pain.In order to assess the binding affinity and interaction patterns of a few NSAIDs—ibuprofen, aspirin, sulindac, and indomethacin against the Cyclooxygenase-1 (COX-1) enzyme (PDB ID: 6Y3C), the current study focuses on molecular docking studies. According to the docking data, all of the chosen drugs have good binding interactions; ibuprofen has the highest binding affinity, followed by aspirin, sulindac, and indomethacin. ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) study was carried out in addition to docking studies to evaluate the pharmacokinetic and safety profiles of these medications. The findings imply that the chosen NSAIDs have adequate metabolic stability and excretion profiles along with good absorption and distribution characteristics. However, some restrictions were noted, including the possibility of hepatotoxicity and gastrointestinal distress. Overall, this work highlights the need for safer substitutes with fewer side effects while supporting the continued use of NSAIDs and highlighting the need of combining molecular docking with ADMET analysis in understanding drug behavior.

Keywords

NSAIDs, Molecular Docking, ADMET Prediction, COX-1 Enzyme, Ibuprofen, Aspirin, Sulindac, Indomethacin, In Silico Study, AutoDock Vina, Drug-Protein Interaction, Pharmacokinetic Analysis

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green