A DFT-Based QSAR and Molecular Docking Studies on Potent Anti-Colon Cancer Activity of Pyrazole Derivatives

Article ID

PDDTM0CZ41

A DFT-Based QSAR and Molecular Docking Studies on Potent Anti-Colon Cancer Activity of Pyrazole Derivatives

Banjo Semire
Banjo Semire
Abel Kolawole Oyebamiji
Abel Kolawole Oyebamiji Ladoke Akintola University of Technology
Oyeladun Rhoda Oyewole
Oyeladun Rhoda Oyewole
DOI

Abstract

Pyrazolederivatives have been described as a group of compounds with various biological activities including anticancer effect. Therefore, a set of twenty Pyrazole based compounds which had been previously shown to be active against human colon cancer cell (HT29) are use in the study. These compounds were optimized using Density Functional Theory (DFT) for the calculations of molecular descriptors that related the bioactivity of these compounds to their structures. The developed quantitative structure activity relation (QSAR) was validated, and it showed the reliability and acceptability of the model. The in silico simulations were carried out on the twenty Pyrazole based compounds with colon cancer cell line, HT29 (PDB ID: 2N8A) using Autodock vina software. The docked complexes were validated and enumerated based on the AutoDock Scoring function to pick out the best inhibitors based on docked Energy. The analysis of the ligand-receptor complexes showed that H-bonds played a prominent role in the binding and posed stability of the ligand in the ligandreceptor complexes. The binding free energy, ΔG calculated ranged from – 6.10 kcal/mol – 8.20 Kcal/mol.

A DFT-Based QSAR and Molecular Docking Studies on Potent Anti-Colon Cancer Activity of Pyrazole Derivatives

Pyrazolederivatives have been described as a group of compounds with various biological activities including anticancer effect. Therefore, a set of twenty Pyrazole based compounds which had been previously shown to be active against human colon cancer cell (HT29) are use in the study. These compounds were optimized using Density Functional Theory (DFT) for the calculations of molecular descriptors that related the bioactivity of these compounds to their structures. The developed quantitative structure activity relation (QSAR) was validated, and it showed the reliability and acceptability of the model. The in silico simulations were carried out on the twenty Pyrazole based compounds with colon cancer cell line, HT29 (PDB ID: 2N8A) using Autodock vina software. The docked complexes were validated and enumerated based on the AutoDock Scoring function to pick out the best inhibitors based on docked Energy. The analysis of the ligand-receptor complexes showed that H-bonds played a prominent role in the binding and posed stability of the ligand in the ligandreceptor complexes. The binding free energy, ΔG calculated ranged from – 6.10 kcal/mol – 8.20 Kcal/mol.

Banjo Semire
Banjo Semire
Abel Kolawole Oyebamiji
Abel Kolawole Oyebamiji Ladoke Akintola University of Technology
Oyeladun Rhoda Oyewole
Oyeladun Rhoda Oyewole

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Abel Kolawole Oyebamiji. 2018. “. Global Journal of Medical Research – B: Pharma, Drug Discovery, Toxicology & Medicine GJMR-B Volume 18 (GJMR Volume 18 Issue B2): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-B Classification: NLMC Code: QV 4
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A DFT-Based QSAR and Molecular Docking Studies on Potent Anti-Colon Cancer Activity of Pyrazole Derivatives

Banjo Semire
Banjo Semire
Abel Kolawole Oyebamiji
Abel Kolawole Oyebamiji Ladoke Akintola University of Technology
Oyeladun Rhoda Oyewole
Oyeladun Rhoda Oyewole

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