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Title:
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PROSPECTS FOR THE IMPLEMENTATION OF HEURISTIC ALGORITHMS FROM THE EVOLUTIONARY COMPUTING AS NEW EXPERIMENTAL APPROACHES IN SYNTHETIC BIOLOGY: IN SILICO TESTS |
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Author(s):
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Alexander Spirov and Ekaterina Myasnikova |
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ISBN:
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978-989-8704-44-3 |
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Editors:
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Hans Weghorn and Pedro Isaias |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Evolutionary Algorithms, Computational Biology, Selection Techniques, Hill-Climbing, Biomolecular Experiments in Silico, Algorithms Implementation in Bioen |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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12 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In vitro evolution ("evolution in a test tube", directed evolution) is a modern technology used in bioengineering that mimics the process of natural selection to direct proteins or nucleic acids to acquire a specific function. One of the most promising directions in the development of modern technologies for the evolution of macromolecules in vitro is the use of microdroplet devices based on the principles of microfluidics. A significant increase in the efficiency and cost reduction of in vitro evolution approaches can be achieved through the development and analysis of new heuristic evolutionary algorithms. This goal is achieved by numerical tests on computer models of real molecular genetic experiments (in silico experiments). This work was inspired by our recent key observation that many heuristic evolutionary algorithms can be associated with new engineering solutions for the modules of such microfluidic devices. Here, we have proposed and simulated new approaches to in vitro evolution with the prospect of their implementation in experimental microfluidic setups. In this report, we have demonstrated in our in silico experiments that some algorithms that have proven themselves in evolutionary computing turn out to be significantly more efficient than those algorithms that model the routine approaches of modern microdroplet microfluidics. Prospects for the implementation of such promising algorithms in new experimental approaches are discussed. |
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