Titlebook: Case Studies inSystems Biology; Pavel Kraikivski Textbook 2021 Springer Nature Switzerland AG 2021 Dynamic modeling.Biological Networks.Bi

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Fate Decisions of CD4+ T Cells,tion and activation of several types of memoryenabling immune cells, including T cells and B cells. A group of T cells with surface marker CD4 coordinate immune responses by activating and modulating other immune cells. Specific immune responses mounted by CD4. T cells depend on the subtypes of thes

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maverick

Collective Molecular Motor Transport,nto proteins. Some of these proteins must then be imported back into the nucleus. Others are packaged into membrane vesicles, which in turn must be trafficked to the plasma membrane and exocytosed from the cell. The list of such examples has hundreds of entries [1]. An energetically ‘cheap’ way to t

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BUOY

Identifying Virus-Like Regions in Microbial Genomes Using Hidden Markov Models, have been studied for over a century due to their medical or agricultural importance, there is growing appreciation for the large diversity of viruses that inhabit the biosphere and infect microorganisms such as bacteria, archaea, single-celled eukaryotes, and even other viruses [2–5]. All of these

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ALT

nt project.Features contributions from key scientists in the.This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relev

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Glycolytic Oscillations,y in living cells. Therefore, glycolysis allows a?living cell to use glucose as its main energy source. Interestingly, energy production in glycolysis is not always a steady process, but, under certain conditions, it can exhibit oscillatory dynamics.