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丹·塔夫茨关于酶适应新底物的蛋白质工程师课程

Dan Tawfik's Lessons for Protein Engineers about Enzymes Adapting to New Substrates.

机构信息

O. Wayne Rollins Research Center, 1510 Clifton Road NE, Room 4001, Atlanta, Georgia 30322, United States.

Centre for Biodiscovery, School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand.

出版信息

Biochemistry. 2023 Jan 17;62(2):158-162. doi: 10.1021/acs.biochem.2c00230. Epub 2022 Jul 12.

Abstract

Natural evolution has been creating new complex systems for billions of years. The process is spontaneous and requires neither intelligence nor moral purpose but is nevertheless difficult to understand. The late Dan Tawfik spent years studying enzymes as they adapted to recognize new substrates. Much of his work focused on gaining fundamental insights, so the practical utility of his experiments may not be obvious even to accomplished protein engineers. Here we focus on two questions fundamental to any directed evolution experiment. Which proteins are the best starting points for such experiments? Which trait(s) of the chosen parental protein should be evolved to achieve the desired outcome? We summarize Tawfik's contributions to our understanding of these problems, to honor his memory and encourage those unfamiliar with his ideas to read his publications.

摘要

自然进化在数十亿年的时间里一直在创造新的复杂系统。这个过程是自发的,既不需要智力也不需要道德目的,但却很难理解。已故的丹·塔夫茨(Dan Tawfik)多年来一直在研究酶,观察它们如何适应识别新的底物。他的大部分工作都集中在获得基本的见解上,因此,即使对于经验丰富的蛋白质工程师来说,他的实验的实际用途也可能不明显。在这里,我们关注的是任何定向进化实验都必须面对的两个基本问题。哪些蛋白质是此类实验的最佳起点?为了达到预期的结果,应该进化选择的亲本蛋白质的哪些特性?我们总结了塔夫茨(Tawfik)对我们理解这些问题的贡献,以纪念他,并鼓励那些不熟悉他的思想的人阅读他的出版物。

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本文引用的文献

1
Quantifying the taxonomic bias in enzymology.量化酶学中的分类学偏差。
Protein Sci. 2021 Apr;30(4):914-921. doi: 10.1002/pro.4041. Epub 2021 Feb 25.
2
Evolution, folding, and design of TIM barrels and related proteins.TIM 桶及相关蛋白的进化、折叠和设计。
Curr Opin Struct Biol. 2021 Jun;68:94-104. doi: 10.1016/j.sbi.2020.12.007. Epub 2021 Jan 13.
5
Collateral fitness effects of mutations.突变的附带适合度效应。
Proc Natl Acad Sci U S A. 2020 May 26;117(21):11597-11607. doi: 10.1073/pnas.1918680117. Epub 2020 May 8.
7
Design and in vitro realization of carbon-conserving photorespiration.设计并在体外实现节约碳的光呼吸。
Proc Natl Acad Sci U S A. 2018 Dec 4;115(49):E11455-E11464. doi: 10.1073/pnas.1812605115. Epub 2018 Nov 20.
8
Automated Design of Efficient and Functionally Diverse Enzyme Repertoires.高效且功能多样的酶组合的自动化设计。
Mol Cell. 2018 Oct 4;72(1):178-186.e5. doi: 10.1016/j.molcel.2018.08.033. Epub 2018 Sep 27.

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