Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Phytochemicals from <i>Amaranthus</i> <i>tricolor L. </i>with Potential Anti-Inflammatory Activity: An <i>In Silico</i> Molecular Docking, QSAR, and ADMET Study

View through CrossRef
Inflammation is a complex biological response that contributes to the pathogenesis of many chronic diseases. Cyclooxygenase2 (COX-2) plays a central role in inflammatory processes by catalyzing the synthesis of proinflammatory prostaglandins. Natural COX-2 inhibitors have gained increasing interest as potential alternatives to synthetic drugs due to their improved safety profiles. Amaranthus tricolor L., a leafy vegetable, is traditionally recognized for its anti-inflammatory and antioxidant properties. This study investigated the anti-inflammatory potential of major phytochemicals from A. tricolor using an integrated in silico approach involving molecular docking, ADMET profiling, and quantitative structure–activity relationship (QSAR) analysis to identify promising COX2 inhibitors. A total of thirty-three phytocompounds reported in A. tricolor were identified and screened against the crystal structure of COX-2 enzyme (PDB: 1CX2) using molecular docking. Diclofenac was employed as a reference drug. Docking was performed using PyRx, binding interactions were visualized using BIOVIA Discovery Studio. The physicochemical, pharmacokinetic, drug-likeness properties of the top-scoring ligands were evaluated using SwissADME, admetSAR, ChemDes, and pkCSM. Docking results revealed that myricetin-3-O-rutinoside exhibited the strongest binding affinity (−10.2 kcal/mol), exceeding that of diclofenac (−7.0 kcal/mol), followed by myricetin (−9.9 kcal/mol), quercetin (−9.5 kcal/mol), and a few others. These compounds formed stable interactions with active-site residues of COX-2. ADMET and QSAR analyses indicated favorable absorption, moderate bioavailability, and acceptable safety profiles for most top ligands, while toxicity prediction suggested low hepatotoxicity and mutagenicity risks. The findings highlight myricetin, quercetin derivatives, and several other phytocompounds from A. tricolor as promising COX-2 inhibitors with potential anti-inflammatory activity.   Received: 23 December 2025 | Revised: 30 March 2026 | Accepted: 20 April 2026   Conflicts of Interest The authors declare that they have no conflicts of interest to this work.   Data Availability Statement All data generated or analyzed during this study are included in this published article.   Author Contribution Statement Ferdousi Ahmed Sumona: Software, Investigation, Writing – original draft, Visualization. Sawda Binta Kamrul Oishi: Software, Formal analysis, Investigation, Writing – original draft, Visualization. Md. Rakibul Hossain: Formal analysis, Investigation, Writing – original draft, Visualization. Sumaiya Khatun: Formal analysis, Investigation, Writing – original draft, Visualization. Ayesha Islam Sadia: Formal analysis, Investigation, Writing – original draft, Visualization. Md. Sabbir Hossain: Formal analysis, Investigation, Writing – original draft, Visualization. Md. Abu Bakar Siddique Jami: Conceptualization, Methodology, Software, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.
Title: Phytochemicals from <i>Amaranthus</i> <i>tricolor L. </i>with Potential Anti-Inflammatory Activity: An <i>In Silico</i> Molecular Docking, QSAR, and ADMET Study
Description:
Inflammation is a complex biological response that contributes to the pathogenesis of many chronic diseases.
Cyclooxygenase2 (COX-2) plays a central role in inflammatory processes by catalyzing the synthesis of proinflammatory prostaglandins.
Natural COX-2 inhibitors have gained increasing interest as potential alternatives to synthetic drugs due to their improved safety profiles.
 Amaranthus tricolor L.
, a leafy vegetable, is traditionally recognized for its anti-inflammatory and antioxidant properties.
This study investigated the anti-inflammatory potential of major phytochemicals from A.
tricolor using an integrated in silico approach involving molecular docking, ADMET profiling, and quantitative structure–activity relationship (QSAR) analysis to identify promising COX2 inhibitors.
A total of thirty-three phytocompounds reported in A.
tricolor were identified and screened against the crystal structure of COX-2 enzyme (PDB: 1CX2) using molecular docking.
Diclofenac was employed as a reference drug.
Docking was performed using PyRx, binding interactions were visualized using BIOVIA Discovery Studio.
The physicochemical, pharmacokinetic, drug-likeness properties of the top-scoring ligands were evaluated using SwissADME, admetSAR, ChemDes, and pkCSM.
Docking results revealed that myricetin-3-O-rutinoside exhibited the strongest binding affinity (−10.
2 kcal/mol), exceeding that of diclofenac (−7.
0 kcal/mol), followed by myricetin (−9.
9 kcal/mol), quercetin (−9.
5 kcal/mol), and a few others.
These compounds formed stable interactions with active-site residues of COX-2.
ADMET and QSAR analyses indicated favorable absorption, moderate bioavailability, and acceptable safety profiles for most top ligands, while toxicity prediction suggested low hepatotoxicity and mutagenicity risks.
The findings highlight myricetin, quercetin derivatives, and several other phytocompounds from A.
tricolor as promising COX-2 inhibitors with potential anti-inflammatory activity.
  Received: 23 December 2025 | Revised: 30 March 2026 | Accepted: 20 April 2026   Conflicts of Interest The authors declare that they have no conflicts of interest to this work.
  Data Availability Statement All data generated or analyzed during this study are included in this published article.
  Author Contribution Statement Ferdousi Ahmed Sumona: Software, Investigation, Writing – original draft, Visualization.
Sawda Binta Kamrul Oishi: Software, Formal analysis, Investigation, Writing – original draft, Visualization.
Md.
Rakibul Hossain: Formal analysis, Investigation, Writing – original draft, Visualization.
Sumaiya Khatun: Formal analysis, Investigation, Writing – original draft, Visualization.
Ayesha Islam Sadia: Formal analysis, Investigation, Writing – original draft, Visualization.
Md.
Sabbir Hossain: Formal analysis, Investigation, Writing – original draft, Visualization.
 Md.
Abu Bakar Siddique Jami: Conceptualization, Methodology, Software, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.

Related Results

LITERATURE REVIEW: EKSTRAK BAYAM MERAH (Amaranthus tricolor) SEBAGAI ANTIBAKTERI
LITERATURE REVIEW: EKSTRAK BAYAM MERAH (Amaranthus tricolor) SEBAGAI ANTIBAKTERI
Berdasarkan penelitian, keluarga dari Amaranthus spp. dilaporkan memiliki aktivitas antibakteri. Begitu pula, penelitian mengenai ekstrak Amaranthus tricolor sebagai antibakteri te...
Aplikasi Pemberian Pupuk Organik Cair NU-POC Dan Bio Sugih Terhadap Pertumbuhan Tanaman Bayam Merah (Amaranthus tricolor L.)
Aplikasi Pemberian Pupuk Organik Cair NU-POC Dan Bio Sugih Terhadap Pertumbuhan Tanaman Bayam Merah (Amaranthus tricolor L.)
Red spinach is one of the most popular vegetable commodities because it has high nutritional value. Amaranthus tricolor L. consists of two varieties: Blitum album and Blitum rubrum...
The Potential of Medicinal Plants and Bioactive Compounds in the Fight Against COVID-19
The Potential of Medicinal Plants and Bioactive Compounds in the Fight Against COVID-19
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus , is causing a serious worldwide COVID-19 pandemic. The emergence of strains with rapid spread and...
Improving QSAR model predictions using ensembled heterogenous features
Improving QSAR model predictions using ensembled heterogenous features
Quantitative structure–activity relationship (QSAR) models are widely used computational tools in drug discovery for predicting molecular activities and prioritizing compounds for ...
Improving QSAR model predictions using ensembled heterogenous features
Improving QSAR model predictions using ensembled heterogenous features
Quantitative structure–activity relationship (QSAR) models are widely used computational tools in drug discovery for predicting molecular activities and prioritizing compounds for ...
DTMol: Pocket-based Molecular Docking using Diffusion Transformers
DTMol: Pocket-based Molecular Docking using Diffusion Transformers
Abstract In computational chemistry, molecular docking—predicting the binding structure of a small molecule ligand to a protein—is vital for understanding interacti...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Antioxidant Activity of Amranthus Viridis Linn
Antioxidant Activity of Amranthus Viridis Linn
Amaranthus viridis L. belongs to family (Amaranthaceae). It is a common wild vegetable and weed of cultivation. Phytochemistry and antioxidant activity of Amaranthus viridis Linn. ...

Back to Top