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Titlebook: Computational Methods in Synthetic Biology; Mario Andrea Marchisio Book 2015 Springer Science+Business Media New York 2015 CAD programs.DN

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發(fā)表于 2025-3-23 13:29:30 | 只看該作者
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發(fā)表于 2025-3-23 20:45:42 | 只看該作者
In Silico Control of Biomolecular Processesrolling precisely the level of a protein of interest will be useful to probe quantitatively the dynamical properties of cellular processes and to drive complex, synthetically-engineered networks. In this chapter we describe a platform for real-time closed-loop control of gene expression in yeast tha
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發(fā)表于 2025-3-23 22:58:06 | 只看該作者
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發(fā)表于 2025-3-24 12:51:30 | 只看該作者
Modular Design of Synthetic Gene Circuits with Biological Parts and Poolsomplex modules via the joint employment of the software BioNetGen (rule-based modeling) and ProMoT (modularization). In this chapter, we illustrate how to utilize our computational tool for synthetic biology with the in silico implementation of a simple eukaryotic gene circuit that performs the logic AND operation.
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發(fā)表于 2025-3-24 17:03:50 | 只看該作者
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發(fā)表于 2025-3-25 01:47:15 | 只看該作者
https://doi.org/10.1007/978-1-4842-6461-4ia. Herein, we present our method to carry out such evolutionary design and how to use it to create various types of riboregulators, allowing the systematic de novo design of genetic control systems in synthetic biology.
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