Abstract
Background: Mounting evidence over the past decade suggests that the number of phytochemicals were identified and designed on the basis of computer modeling (In slico method) to understand the interactions among the anti-cancer targeting proteins.
Objectives: The aim of the present research was to find the anti-cancer targeting efficiency of phloretin by molecular docking.
Methods: Based on the experimental evidence, a phytochemical of phloretin and epidermal growth factor receptor (EGFR), B cell lymphoma 2 (Bcl-2), nuclear factor-κB (NFkB), c-Kit receptor protein-tyrosine kinase, Farnesyl transferase, platelet-derived growth factors (PDGFs) and vascular endothelial growth factor receptor 2 (VEGFR2) proteins were utilized to perform induced fit docking by using Glide 6.5 (Schrodinger 2014-2). Multiple numbers of the poses were generated and evaluated for understanding the binding conformations and common interacting residues between ligands and proteins.
Results: The docking results revealed that phloretin exhibited significant binding interaction pattern when compare to the known cancer target native inhibitor.
Conclusion: Phloretin revealed good docking score and glide energy. Further studies are needed to explore its pharmacophoere properties and inhibitory potential in experimental models.
Keywords: Anticancer, phytochemical, phloretin, molecular docking, in silico drug discovery.
Graphical Abstract
Current Drug Therapy
Title:In Silico Studies towards Enhancing the Anticancer Activity of Phytochemical Phloretin Against Cancer Drug Targets
Volume: 13 Issue: 2
Author(s): Arokia Vijaya Anand Mariadoss, Anantha Krishnan Dhanabalan, Hemalatha Munusamy, Krishnasamy Gunasekaran and Ernest David*
Affiliation:
- Department of Biotechnology, Thiruvalluvar University, Serkadu, Vellore, Tamilnadu, 632115,India
Keywords: Anticancer, phytochemical, phloretin, molecular docking, in silico drug discovery.
Abstract: Background: Mounting evidence over the past decade suggests that the number of phytochemicals were identified and designed on the basis of computer modeling (In slico method) to understand the interactions among the anti-cancer targeting proteins.
Objectives: The aim of the present research was to find the anti-cancer targeting efficiency of phloretin by molecular docking.
Methods: Based on the experimental evidence, a phytochemical of phloretin and epidermal growth factor receptor (EGFR), B cell lymphoma 2 (Bcl-2), nuclear factor-κB (NFkB), c-Kit receptor protein-tyrosine kinase, Farnesyl transferase, platelet-derived growth factors (PDGFs) and vascular endothelial growth factor receptor 2 (VEGFR2) proteins were utilized to perform induced fit docking by using Glide 6.5 (Schrodinger 2014-2). Multiple numbers of the poses were generated and evaluated for understanding the binding conformations and common interacting residues between ligands and proteins.
Results: The docking results revealed that phloretin exhibited significant binding interaction pattern when compare to the known cancer target native inhibitor.
Conclusion: Phloretin revealed good docking score and glide energy. Further studies are needed to explore its pharmacophoere properties and inhibitory potential in experimental models.
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Cite this article as:
Anand Mariadoss Vijaya Arokia , Krishnan Dhanabalan Anantha , Munusamy Hemalatha , Gunasekaran Krishnasamy and David Ernest *, In Silico Studies towards Enhancing the Anticancer Activity of Phytochemical Phloretin Against Cancer Drug Targets, Current Drug Therapy 2018; 13 (2) . https://dx.doi.org/10.2174/1574885513666180402134054
DOI https://dx.doi.org/10.2174/1574885513666180402134054 |
Print ISSN 1574-8855 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-3903 |
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