Titlebook: Computational Methods in Systems Biology; 16th International C Milan Češka,David Šafránek Conference proceedings 2018 Springer Nature Switz

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SpringerBriefs in Public Healthe physiology from available patient data and using a mixed integer optimization approach to control blood glucose levels in real-time using the inferred models. First, our approach learns neural networks to predict the future blood glucose values from given data on insulin infusion and their resulti

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Deborah Ann Jensen,Jennifer A. Tuten. In our approach, a query consists in a trace pattern along with an expression that depends on the variables captured by this pattern. On a given trace, it evaluates to the multiset of all values of the expression for every possible matching of the pattern. We illustrate our proposed query language

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Deborah Ann Jensen,Jennifer A. Tutenists typically spend years working out the MoA for known compounds. MoA determination is especially challenging if there is no prior knowledge and if there is an urgent need to understand the mechanism for rapid treatment and/or prevention of global health emergencies. In this paper, we describe a d

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Courses for Non-science Studentscondly, KaSa may provide useful properties to check that what is implemented is what the modeler has in mind and to provide a quick overview of the model for the people who have not written it..The cornerstone of KaSa is a fix-point engine which detects some patterns that may never occur whatever th

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Modeling and Engineering Promoters with Pre-defined RNA Production Dynamics in e . dynamics of RNA production of . promoters at the single event level. This dynamics is mostly controlled at the promoter region, which can be engineered with single nucleotide precision. Based on these developments, we propose a new strategy to engineer genes with predefined transcription dynamic

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Deep Abstractions of Chemical Reaction Networks to High Performance Computing (HPC) facilities, particularly when each cell is described by a detailed model of some intra-cellular pathways and cells are coupled and interacting at the tissue level. Model abstraction can play a crucial role in this setting, by providing simpler models of intra-cel

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Derivation of a Biomass Proxy for Dynamic Analysis of Whole Genome Metabolic Modelsan organism, based on information present in its genome. Such models have been designed so that flux balance analysis (FBA) can be applied in order to analyse metabolism under steady state. For this purpose, a biomass function is added to these models as an overall indicator of the model’s viability