Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/17800
Title: Computational Model of NMR Molecular Dynamics for the Analysis of Blood Brain Barrier
Authors: Dada, Michael
Awojoyogbe, Bamidele
Baroni, Simona
Keywords: Bloch NMR flow equation
Biological flow
Laguerre polynomials
drug delivery
central nervous system
brain
Issue Date: 9-Apr-2014
Publisher: International Work-Conference on Bioinformatics and Biomedical Engineering
Citation: Dada, M. O., Awojoyogbe, O. B., & Baroni, S. (2014). Computational Model of NMR Molecular Dynamics for the Analysis of Blood Brain Barrier. Proceedings International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 860-877.
Series/Report no.: Curriculum Vitae;43
Abstract: In recent years, tremendous attention, and efforts are focused on the development of novel drug delivery systems to improve health care. Substantial improvement of current therapies has necessitated the use of therapeutic modalities that allow for efficient and site-specific transport of drugs to the target tissues. However, there are enormous barriers that a drug molecule must overcome before it reaches its target site within the body. Therefore, discovery of new modalities allowing for effective drug delivery to the brain and central nervous system (CNS) is of great need and importance for treatment of neurodegenerative disorders. In this study, we have solved the time dependent Bloch NMR flow equation analytically for the analysis of glucose content, total protein content and blood cell count in the CNS and brain using MRI experimental data. The associated Laguerre polynomials obtained are applied to evaluate biological flow in the central nervous system. The application of fluid velocity, the NMR relaxation times and the path length for biological flow in the central nervous system are demonstrated.
Description: http://iwbbio.ugr.es/2014/papers/IWBBIO_2014_paper_91.pdf
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17800
ISBN: 978-84-15814-84-9
Appears in Collections:Physics

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