The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation

Introduction: The aim of this study was to evaluate the performance of three nanomotors on 15 transmembrane amyloid-beta precursor proteins by molecular dynamics simulation. Method: In this study, 15 transmembrane APP (14 mutant forms and one normal) were obtained from National Center for Biotechno...

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Main Authors: Saeideh Jafarinezhad, Mahmood Dehghani Ashkezari, Ali Jebali
Format: Article
Language:fas
Published: Kerman University of Medical Sciences 2016-09-01
Series:مجله انفورماتیک سلامت و زیست پزشکی
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Online Access:http://jhbmi.ir/article-1-141-en.html
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author Saeideh Jafarinezhad
Mahmood Dehghani Ashkezari
Ali Jebali
author_facet Saeideh Jafarinezhad
Mahmood Dehghani Ashkezari
Ali Jebali
author_sort Saeideh Jafarinezhad
collection DOAJ
description Introduction: The aim of this study was to evaluate the performance of three nanomotors on 15 transmembrane amyloid-beta precursor proteins by molecular dynamics simulation. Method: In this study, 15 transmembrane APP (14 mutant forms and one normal) were obtained from National Center for Biotechnology Information (NCBI) and separately modeled in Designer Ascalaph. The synthesized peptides with three-dimensional stable structures were selected to be simulated and then were placed near synthesized nanomotors, hypericin, and retinol using HyperChem. At end of simulation, different parameters such as free energy, intermolecular energy, potential energy, and root mean square displacement (RMSD) were separately obtained for each APP. Finally, the ratio of changes was calculated for each parameter. Results: The results showed that each nanomotor had different performance on different peptides. Hypericin on peptide 5, retinol on peptide 10, and nanomotors partly on peptide 4 had a great performance. But because each nanomotor influences only special mutant peptide and Alzheimer's disease is caused by different mutations, only one type of nanomotors cannot be used to treat Alzheimer's disease. Conclusion: According to the investigations performed on the treatment of Alzheimer’s disease, it can be concluded that retinol with three-dimensional structure and dynamic parameters has great performance on transmembrane mutant peptide; therefore, it can be considered as a useful treatment strategy.
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spelling doaj.art-0fc179e22fa347109a016319bf0bf9352023-01-28T10:42:12ZfasKerman University of Medical Sciencesمجله انفورماتیک سلامت و زیست پزشکی2423-38702423-34982016-09-0132100117The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer SimulationSaeideh Jafarinezhad0Mahmood Dehghani Ashkezari1Ali Jebali2 Ph.D. in Medical Nanotechnology Assistant Professor, Medical Biotechnology Research Center, Islamic Azad University-Ashkezar Branch, Ashkezar, Yazd, Iran. Introduction: The aim of this study was to evaluate the performance of three nanomotors on 15 transmembrane amyloid-beta precursor proteins by molecular dynamics simulation. Method: In this study, 15 transmembrane APP (14 mutant forms and one normal) were obtained from National Center for Biotechnology Information (NCBI) and separately modeled in Designer Ascalaph. The synthesized peptides with three-dimensional stable structures were selected to be simulated and then were placed near synthesized nanomotors, hypericin, and retinol using HyperChem. At end of simulation, different parameters such as free energy, intermolecular energy, potential energy, and root mean square displacement (RMSD) were separately obtained for each APP. Finally, the ratio of changes was calculated for each parameter. Results: The results showed that each nanomotor had different performance on different peptides. Hypericin on peptide 5, retinol on peptide 10, and nanomotors partly on peptide 4 had a great performance. But because each nanomotor influences only special mutant peptide and Alzheimer's disease is caused by different mutations, only one type of nanomotors cannot be used to treat Alzheimer's disease. Conclusion: According to the investigations performed on the treatment of Alzheimer’s disease, it can be concluded that retinol with three-dimensional structure and dynamic parameters has great performance on transmembrane mutant peptide; therefore, it can be considered as a useful treatment strategy.http://jhbmi.ir/article-1-141-en.htmlamyloid precursor proteinalzheimer's diseasesimulationnanomotor
spellingShingle Saeideh Jafarinezhad
Mahmood Dehghani Ashkezari
Ali Jebali
The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation
مجله انفورماتیک سلامت و زیست پزشکی
amyloid precursor protein
alzheimer's disease
simulation
nanomotor
title The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation
title_full The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation
title_fullStr The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation
title_full_unstemmed The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation
title_short The Study of Interactions between Amyloid-Beta Precursor Protein and Functional Nanomotors as a New anti-Alzheimer\'s Disease Strategy by Modeling and Computer Simulation
title_sort study of interactions between amyloid beta precursor protein and functional nanomotors as a new anti alzheimer s disease strategy by modeling and computer simulation
topic amyloid precursor protein
alzheimer's disease
simulation
nanomotor
url http://jhbmi.ir/article-1-141-en.html
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