Limited Offer
ODE/PDE α-synuclein Models for Parkinson’s Disease
- 1st Edition - February 13, 2018
- Author: William E. Schiesser
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 4 6 1 4 - 9
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 4 8 0 2 - 0
ODE/PDE Alpha-Synuclein Models for Parkinson’s Disease discusses a mechanism for the evolution of Parkinson’s Disease (PD) based on the dynamics of the protein α-synucle… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteODE/PDE Alpha-Synuclein Models for Parkinson’s Disease discusses a mechanism for the evolution of Parkinson’s Disease (PD) based on the dynamics of the protein α-synuclein, a monomer that has been implicated in this disease. Specifically, α-synuclein morphs and aggregates into a polymer that can interfere with functioning neurons and lead to neurodegenerative pathology. This book first demonstrates computer-based implementation of a prototype ODE/PDE model for the dynamics of the α-synuclein monomer and polymer, and then details the methodology for the numerical integration of ODE/PDE systems which can be applied to computer-based analyses of alternative models based on the reader's interest.
This book facilitates immediate computer use for research without the necessity to first learn the basic concepts of numerical analysis for ODE/PDEs and programming algorithms
- Includes PDE routines based on the method of lines (MOL) for computer-based implementation of ODE/PDE models
- Offers transportable computer source codes for readers, with line-by-line code descriptions relating to the mathematical model and algorithms
- Authored by a leading researcher and educator in ODE/PDE models
Biomedical engineers, researchers, and clinicians in biology, neuroscience, biophysics, biochemistry, and applied mathematics
Chapter 1 Introduction, ODE Model Formulation
(1.1) ODE Model
(1.2) Main Program
(1.3) ODE Routine
(1.4) Subordinate Routine
(1.5) Model Output
(1.6) Routines for t Derivative
(1.7) Routines for ODE Terms
(1.8) Summary and Conclusions
Chapter 2 Introduction, ODE Model Application
(2.1) ODE Model
(2.1) Main Program (2.2) ODE Routine
(2.3) Model Output
(2.4) Summary and Conclusions
Chapter 3 Introduction, ODE/PDE Model Formulation
(3.1) ODE/PDE Model
(3.2) Main Program
(3.3) ODE/PDE Routine
(3.4) Model Output
(3.5) MOL Variants
(3.6) Summary and Conclusions
Chapter 4 Introduction, ODE/PDE Model Application
(4.1) ODE/PDE Model
(4.2) Main Program
(4.3) ODE/PDE Routine
(4.4) Model Output
(4.5) Model Variants
(4.6) Summary and Conclusions
Chapter 5 Introduction, Convection-Diffusion-Reaction Model Formulation
(5.1) ODE/PDE Model
(5.2) Main Program
(5.3) ODE/PDE Routine
(5.4) Model Output
(5.5) Summary and Conclusions
Chapter 6 Introduction, Convection-Diffusion-Reaction Model Application
(6.1) ODE/PDE Model
(6.2) Main Program
(6.3) ODE/PDE Routine
(6.4) Model Output
(6.5) Summary and Conclusions
Chapter 7 Introduction, Forward and Reverse Axonal Transport
(7.1) ODE/PDE Model
(7.2) Main Program
(7.3) ODE/PDE Routine
(7.4) Model Output
(7.5) Summary and Conclusions
Appendix A1: Function dss012
Appendix A2: Function dss044
- No. of pages: 228
- Language: English
- Edition: 1
- Published: February 13, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128146149
- eBook ISBN: 9780128148020
WS