Directed Evolution

计算机科学
作者
Aaron M. Leconte,Clair M. Colee
出处
期刊:ACS in focus
标识
DOI:10.1021/acsinfocus.7e8004
摘要

While the field of directed evolution is vast and varied, it comes from a simple principle: to apply the principles of biological evolution in the laboratory to generate useful molecules. This widely used technique has yielded blockbuster drugs, essential biological tools, and many more useful chemicals. Considering its impact, it's unsurprising that the 2018 Chemistry Nobel Prize was awarded for the use of directed evolution of proteins. Directed Evolution is an excellent starting point for any scientist interested in directed evolution. This primer aims to provide readers with the foundational knowledge and vocabulary that enables them to tackle the literature and begin designing their projects. Directed evolution, as a field, can be challenging to start in; one of the biggest challenges to starting work in this field is that it requires a different style of thinking than many areas of chemistry. CHAPTER 1 explains this different mentality and then gives an overview of directed evolution: what it is, why it is useful, how evolution is applied in the lab, and how evolution can be applied for human benefit. Given the diversity and quantity of methods and approaches in directed evolution, the remaining chapters focus on helping the readers find the right approach to their specific problem by outlining the basic thought process and classical methods in directed evolution. Specifically, CHAPTER 2 discusses applying directed evolution to nucleic acids. Nucleic acid evolution has several unique features that make it easier to understand conceptually, making it a good starting point for understanding how to think about and leverage evolution. CHAPTERS 3 through 6 cover approaches to evolving proteins. CHAPTER 3 discusses the strengths and weaknesses of different approaches to the diversification of proteins, giving the reader a framework for designing libraries. CHAPTERS 4, 5, and 6 introduce different approaches to sorting by applying selection pressures to find the best variant from a large complex library. Upon completing this primer, the reader will have a theoretical basis to design and execute a directed evolution campaign. They will have the core knowledge to dive into the larger world of directed evolution and begin designing projects that leverage this powerful technique.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
啦啦发布了新的文献求助10
刚刚
安南发布了新的文献求助10
刚刚
刚刚
RJL完成签到,获得积分20
1秒前
1秒前
玛卡巴卡要洗澡完成签到 ,获得积分10
1秒前
llmm发布了新的文献求助10
1秒前
沛林完成签到,获得积分10
2秒前
2秒前
2秒前
墨染完成签到 ,获得积分10
2秒前
强健的季节完成签到,获得积分20
3秒前
我是老大应助cbb采纳,获得10
3秒前
Augenstern完成签到,获得积分10
4秒前
黄国强发布了新的文献求助10
4秒前
YuxiLuo发布了新的文献求助10
5秒前
小v完成签到 ,获得积分10
5秒前
5秒前
独特凡松发布了新的文献求助10
6秒前
Orange应助个性迎彤采纳,获得10
6秒前
liubole完成签到,获得积分10
6秒前
6秒前
ran完成签到 ,获得积分10
6秒前
7秒前
CipherSage应助MJY采纳,获得10
7秒前
7秒前
嘎嘎嘎嘎完成签到,获得积分10
7秒前
诶诶完成签到,获得积分10
8秒前
小猫咪发布了新的文献求助10
8秒前
einuo完成签到,获得积分10
8秒前
9秒前
啦啦完成签到,获得积分10
9秒前
nikki完成签到,获得积分10
9秒前
9秒前
冷茗完成签到,获得积分10
9秒前
10秒前
ungujgjugjyfjuf完成签到,获得积分10
10秒前
缓慢的紫翠完成签到,获得积分10
10秒前
寻梦完成签到,获得积分10
10秒前
星星完成签到,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6362705
求助须知:如何正确求助?哪些是违规求助? 8176474
关于积分的说明 17228098
捐赠科研通 5417436
什么是DOI,文献DOI怎么找? 2866766
邀请新用户注册赠送积分活动 1843939
关于科研通互助平台的介绍 1691648