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Why reinvent the wheel? Building new proteins based on ready‐made parts

机译:为什么要重新发明轮子?根据现成的零件构建新蛋白质

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摘要

We protein engineers are ambivalent about evolution: on the one hand, evolution inspires us with myriad examples of biomolecular binders, sensors, and catalysts; on the other hand, these examples are seldom well‐adapted to the engineering tasks we have in mind. Protein engineers have therefore modified natural proteins by point substitutions and fragment exchanges in an effort to generate new functions. A counterpoint to such design efforts, which is being pursued now with greater success, is to completely eschew the starting materials provided by nature and to design new protein functions from scratch by using de novo molecular modeling and design. While important progress has been made in both directions, some areas of protein design are still beyond reach. To this end, we advocate a synthesis of these two strategies: by using design calculations to both recombine and optimize fragments from natural proteins, we can build stable and as of yet un‐sampled structures, thereby granting access to an expanded repertoire of conformations and desired functions. We propose that future methods that combine phylogenetic analysis, structure and sequence bioinformatics, and atomistic modeling may well succeed where any one of these approaches has failed on its own.
机译:我们的蛋白质工程师对进化抱有矛盾:一方面,进化激发了无数生物分子结合剂,传感器和催化剂的灵感。另一方面,这些示例很少能很好地适应我们所考虑的工程任务。因此,蛋白质工程师通过点取代和片段交换来修饰天然蛋白质,以产生新的功能。与此类设计工作相对应的是,现在完全成功地避免了大自然提供的起始材料,并通过使用从头分子建模和设计从头开始设计新的蛋白质功能,这是与之相对应的。尽管在两个方向都取得了重要进展,但蛋白质设计的某些领域仍然遥不可及。为此,我们提倡对这两种策略进行综合:通过使用设计计算来重组和优化天然蛋白质的片段,我们可以构建稳定且尚未取样的结构,从而获得扩展的构象库和所需的功能。我们提出,将系统发育分析,结构和序列生物信息学以及原子建模相结合的未来方法,如果其中任何一种方法都自行失败,则很可能会成功。

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