TY  - BOOK
AU  - Kulasiri,Don
AU  - Liang,Jingyi
TI  - Alzheimer's disease: biology, biophysics and computational models 
SN  - 9781800610118
AV  - RC523 .A494 2022
PY  - 2022///
CY  - New Jersey
PB  - World Scientific
KW  - Alzheimer's disease
KW  - MEDICAL
N1  - 2; Chapter 1. Introduction to Alzheimer's Disease --; Chapter 2. Neuron and Its Environment as Complex Dynamic Systems --; Chapter 3. Initiation of Action Potential: Biochemistry, Biophysics, and Relevance to AD --; Chapter 4. Computational Biophysics of Protein Interactions in the AIS --; Chapter 5. Computational Modeling of Presynaptic Mechanisms --; Chapter 6. Role of Calcium in AD, Related Pathways and Hypotheses --; Chapter 7. Biophysics of AB and Computational Modeling --; Chapter 8. Computational Modeling of Fluxes in ER --; Chapter 9. Dynamics of CaMKII under AD Conditions --; Chapter 10. Quantification of Synaptic Plasticity Towards Better Understanding of AD; 2; b
N2  - "Alzheimer's disease (AD) is the leading cause of dementia and, unfortunately, remains incurable. The social, emotional and financial implications of AD are immeasurable, and about 47 million people worldwide are affected by AD or other forms of dementia. As lifespans are improved by healthcare systems worldwide, age-associated neurodegenerative diseases are imposing an increasing challenge to science. It is becoming imperative for us to understand the causes of these diseases, AD in particular, at molecular and cellular levels. Starting with the broader picture from a biological perspective, this book takes the reader through fascinating dynamics within and outside of neurons in the brain. Alzheimer's Disease: Biology, Biophysics and Computational Models help the reader to understand AD from mechanistic and biochemical perspectives at intra- and inter-cellular levels. It focuses on biochemical pathways and modeling associated with AD. Some of the recent research on biophysics and computational models related to AD are explained using context-driven computational and mathematical modeling and essential biology is discussed to understand the modeling research"--
ER  -