Sentence examples for engineering of evolution from inspiring English sources

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One of the most challenging aspects of synthetic biology is the engineering of evolution.

One of the most challenging aspects of synthetic biology is the engineering of evolution One of the most challenging aspects of synthetic biology is the engineering of evolution A theoretical approach for designing a controllable synthetic circuit has been proposed [ 17, 18] and could be applied in similar situations.

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Innovation is an interactive process; it is the cultivation of knowledge, materials, and methods into economic practice for improved competitive advantage, born of engineering, development, customization, evolution, plus science, research, discovery, creativity, and serendipity.

Approaches that integrate vaccine engineering with an understanding of evolution and epidemiology will reap the greatest benefit from vaccine transmission.

TRIZ literature largely claims the efficiency of Altshuller's Laws of Engineering System Evolution (LESE) as a means for producing technology forecasts.

TRIZ literature presents several papers and even books claiming the efficiency of Altshuller's Laws of Engineering System Evolution as a means for produce technology forecasts.

Understanding the cellular basis of this control is highly significant for bioscaffold tissue engineering, the evolution of bone microarchitecture, wound healing, and tumor growth.

Directed evolution is a powerful strategy for protein engineering; however, evolution of pharmaceutical proteins has been limited by the reliance of current screens on binding interactions.

In analogy to engineering design, evolution of a circadian clock is understandable in Drosohpila.

With the emergence of artificial intelligence, we are beginning to see the convergence of evolution and engineering as machine learning algorithms begin to evolve.

While the basic experimental procedure for laboratory adaptive evolution has remained broadly similar for many years, a range of recent advances show promise for improving the experimental workflows for evolutionary engineering by accelerating the pace of evolution, simplifying the analysis of evolved mutants, and providing new ways of linking desirable phenotypes to selectable characteristics.

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