蛋白质进化机制及其在蛋白质工程中的应用。

Margaret E Glasner, John A Gerlt, Patricia C Babbitt
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引用次数: 49

摘要

蛋白质工程在开发新的生物传感器、诊断学、治疗学和生物修复剂方面具有很大的前景。尽管在实验和计算蛋白质设计方面取得了一些显著的成功,但工程蛋白质很少达到天然酶的效率或特异性。目前的蛋白质设计方法利用了进化概念,包括突变、重组和选择,但无法完全概括自然进化的成功,这表明一些进化原理尚未得到充分利用。蛋白质工程的一个很少受到关注的方面是如何选择最有前途的蛋白质作为工程的模板或支架。催化机制的保守性和功能乱交性是为模板选择提供合理依据的两个进化概念。在机制不同的超家族中负责催化保守方面的催化基序的知识可用于识别有前途的蛋白质工程模板。其次,蛋白质进化通常是通过混杂的中间产物进行的,这表明对于靶反应来说,自然混杂的模板可以增强蛋白质工程策略。这篇综述探讨了这些观点和关于蛋白质进化和工程的替代假设。未来的研究将决定这些原理的应用是否会导致一种蛋白质工程方法,这种方法由设计高效、新型催化剂的可预测规则所控制。
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Mechanisms of protein evolution and their application to protein engineering.

Protein engineering holds great promise for the development of new biosensors, diagnostics, therapeutics, and agents for bioremediation. Despite some remarkable successes in experimental and computational protein design, engineered proteins rarely achieve the efficiency or specificity of natural enzymes. Current protein design methods utilize evolutionary concepts, including mutation, recombination, and selection, but the inability to fully recapitulate the success of natural evolution suggests that some evolutionary principles have not been fully exploited. One aspect of protein engineering that has received little attention is how to select the most promising proteins to serve as templates, or scaffolds, for engineering. Two evolutionary concepts that could provide a rational basis for template selection are the conservation of catalytic mechanisms and functional promiscuity. Knowledge of the catalytic motifs responsible for conserved aspects of catalysis in mechanistically diverse superfamilies could be used to identify promising templates for protein engineering. Second, protein evolution often proceeds through promiscuous intermediates, suggesting that templates which are naturally promiscuous for a target reaction could enhance protein engineering strategies. This review explores these ideas and alternative hypotheses concerning protein evolution and engineering. Future research will determine if application of these principles will lead to a protein engineering methodology governed by predictable rules for designing efficient, novel catalysts.

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