Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement
Computational Systems Biology Of Synaptic Plasticity: Modelling Of Biochemical Pathways Related To Memory Formation And Impairement

Author: Don Kulasiri

Publisher: #N/A

Published: 2017-06-09

Total Pages: 363

ISBN-13: 1786343398

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This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research.Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.

The Book of GENESIS
The Book of GENESIS

Author: James M. Bower

Publisher: Springer Verlag

Published: 1995

Total Pages: 440

ISBN-13:

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This title introduces and guides the reader through Genesis, a simulation and modeling software tool that is delivered on-line via the Internet from a California Institute of Technology file server. It contains a contribution of models and simulations, plus step-by-step tutorials. 50 illustrations. Approx.

Alzheimer's Disease: Biology, Biophysics And Computational Models
Alzheimer's Disease: Biology, Biophysics And Computational Models

Author: Don Kulasiri

Publisher: World Scientific

Published: 2022-01-06

Total Pages: 416

ISBN-13: 1800610130

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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 helps 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.

Computational Methods in Systems Biology
Computational Methods in Systems Biology

Author: Muffy Calder

Publisher: Springer Science & Business Media

Published: 2007-09-05

Total Pages: 257

ISBN-13: 3540751394

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This book constitutes the refereed proceedings of the International Conference on Computational Methods in Systems Biology, CMSB 2007, held in Edinburgh, Scotland, September 2007. The 16 revised full papers presented present a variety of techniques from computer science, such as language design, concurrency theory, software engineering, and formal methods, for biologists, physicists, and mathematicians interested in the systems-level understanding of cellular processes.

Computational Systems Biology of Synaptic Plasticity
Computational Systems Biology of Synaptic Plasticity

Author: Don Kulasiri

Publisher: Wspc (Europe)

Published: 2017

Total Pages: 326

ISBN-13: 9781786343376

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This book demonstrates the power of mathematical thinking in understanding the biological complexity that exists within the brain. It looks at the latest research on modelling of biochemical pathways within synapses, and provides a clear background for the study of mathematical models related to systems biology. Discussion then focusses on developments in computational models based on networks linked to synaptic plasticity. The models are used to understand memory formation and impairment and they provide a mathematical basis for memory research. Computational Systems Biology of Synaptic Plasticity is a valuable source of knowledge to postgraduate students and researchers in computational systems biology, and as a reference book for various techniques that are needed in modelling biological processes.

Proceedings of 11th International Conference on Alzheimers Disease & Dementia 2018
Proceedings of 11th International Conference on Alzheimers Disease & Dementia 2018

Author: ConferenceSeries

Publisher: ConferenceSeries

Published:

Total Pages: 74

ISBN-13:

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May 24-25, 2018 | Vienna | Austria Key Topics : Dementia-an underlying disease, Symptoms and Diagnosis of Dementia, Vascular Dementia, Alzheimer’s Diagnosis and Symptoms, Alzheimer’s Imaging and Clinical trials, Alzheimer’s Pathophysiology, Parkinson’s disease, Dementia with Lewy bodies, Frontotemporal dementia, Wernicke-Korsakoff Syndrome, Amyloid Protein in Dementia, Neurocognitive Disorder, Dementia Care Practice & Awareness, Therapeutic Targets & Mechanisms for Treatment, Animal Models & Translational Medicine, Mixed Dementia, Alzheimer’s Disease and Dementia Natural Remedies,

Essential Computing Skills For Biologists
Essential Computing Skills For Biologists

Author: Ziling Wang

Publisher: World Scientific

Published: 2018-07-02

Total Pages: 304

ISBN-13: 1848169264

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This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.

Computational Systems Biology
Computational Systems Biology

Author: Andres Kriete

Publisher: Academic Press

Published: 2013-11-26

Total Pages: 549

ISBN-13: 0124059384

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This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. - Logical information flow aids understanding of basic building blocks of life through disease phenotypes - Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns - Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation - Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.

Systems Biology
Systems Biology

Author: Aleš Prokop

Publisher: Springer Science & Business Media

Published: 2013-08-28

Total Pages: 569

ISBN-13: 9400768036

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Growth in the pharmaceutical market has slowed down – almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies – the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connections of these cellular processes. SB involves a series of operational protocols used for performing research, namely a cycle composed of theoretical, analytic or computational modeling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.