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    Directed evolution of (βα)8-barrel enzymes
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    Keywords:
    Protein Engineering
    Protein design
    Directed Molecular Evolution
    Molecular evolution
    Folding (DSP implementation)
    Protein Engineering
    Protein design
    Biocatalysis
    Directed Molecular Evolution
    Site-directed mutagenesis
    Folding (DSP implementation)
    Molecular engineering
    Denaturation (fissile materials)
    Metabolic Engineering
    Citations (0)
    Protein Engineering
    Rational design
    Protein design
    Directed Molecular Evolution
    Component (thermodynamics)
    Synthetic Biology
    Citations (447)
    Protein engineering has been the most attractive strategy for biologists to redesign enzymes. As the simplest technique of protein engineering, directed evolution has been applied to many fields, such as industry, agriculture and medicine. An experiment of directed evolution comprises mutant libraries creation and screening or selection for enzyme variants with desired properties. Therefore, a successful application of directed evolution depends on whether or not one can generate a quality library and perform effective screening to find the desired properties. Directed evolution is already increasingly used in many laboratories to improve protein stability and activity, alter enzyme substrate specificity, or design new activities. Meanwhile, many more effective novel strategies of mutant library generation and screening or selection have emerged in recent years, and will continue to be developed. Combining computational/rational design with directed evolution has been developed as more available means to redesign enzymes. Keywords: Protein engineering, directed evolution, sequence diversity creation, novel strategy, computational design, rational design
    Directed Molecular Evolution
    Protein Engineering
    Rational design
    Synthetic Biology
    Protein design
    Citations (6)
    Proteins are one of the most multifaceted macromolecules in living systems. Proteins have evolved to function under physiological conditions and, therefore, are not usually tolerant of harsh experimental and environmental conditions. The growing use of proteins in industrial processes as a greener alternative to chemical catalysts often demands constant innovation to improve their performance. Protein engineering aims to design new proteins or modify the sequence of a protein to create proteins with new or desirable functions. With the emergence of structural and functional genomics, protein engineering has been invigorated in the post-genomic era. The three-dimensional structures of proteins with known functions facilitate protein engineering approaches to design variants with desired properties. There are three major approaches of protein engineering research, namely, directed evolution, rational design, and de novo design. Rational design is an effective method of protein engineering when the threedimensional structure and mechanism of the protein is well known. In contrast, directed evolution does not require extensive information and a three-dimensional structure of the protein of interest. Instead, it involves random mutagenesis and selection to screen enzymes with desired properties. De novo design uses computational protein design algorithms to tailor synthetic proteins by using the three-dimensional structures of natural proteins and their folding rules. The present review highlights and summarizes recent protein engineering approaches, and their challenges and limitations in the post-genomic era. Keywords: De novo design, directed evolution, genomics, protein engineering, random mutagenesis, rational design.
    By constructing mutant libraries and utilizing high-throughput screening methods, directed evolution has emerged as the most popular strategy for protein design nowadays. In the past decade, taking advantages of computer performance and algorithms, computer-assisted protein design has rapidly developed and become a powerful method of protein engineering. Based on the simulation of protein structure and calculation of energy function, computational design can alter the substrate specificity and improve the thermostability of enzymes, as well as de novo design of artificial enzymes with expected functions. Recently, machine learning and other artificial intelligence technologies have also been applied to computational protein engineering, resulting in a series of remarkable applications. Along the lines of protein engineering, this paper reviews the progress and applications of computer-assisted protein design, and current trends and outlooks of the development.定向进化通过建立突变体文库与高通量筛选方法,快速提升蛋白的特定性质,是目前蛋白质工程最为常用的蛋白质设计改造策略。近十年随着计算机运算能力大幅提升以及先进算法不断涌现,计算机辅助蛋白质设计改造得到了极大的重视和发展,成为蛋白质工程新开辟的重要方向。以结构模拟与能量计算为基础的蛋白质计算设计不但能改造酶的底物特异性与热稳定性,还可从头设计具有特定功能的人工酶。近年来机器学习等人工智能技术也被应用于计算机辅助蛋白质设计改造,并取得瞩目的成绩。文中介绍了蛋白质工程的发展历程,重点评述当前计算机辅助蛋白质设计改造方面的进展与应用,并展望其未来发展方向。.
    Protein Engineering
    Protein design
    Thermostability
    Directed Molecular Evolution
    Synthetic Biology
    Citations (9)
    Protein Engineering
    Protein design
    Rational design
    Directed Molecular Evolution
    Sequence (biology)
    Computational protein design is becoming a powerful tool for tailoring enzymes for specific biotechnological applications. When applied to existing enzymes, computational re-design makes it possible to obtain orders of magnitude improvement in catalytic activity towards a new target substrate. Computational methods also allow the design of completely new active sites that catalyze reactions that are not known to occur in biological systems. If initial designs display modest catalytic activity, which is often the case, this may be improved by iterative cycles of computational design or by follow-up engineering through directed evolution. Compared to established protein engineering methods such as directed evolution and structure-based mutagenesis, computational design allows for much larger jumps in sequence space; for example, by introducing more than a dozen mutations in a single step or by introducing loops that provide new functional interactions. Recent advances in the computational design toolbox, which include new backbone re-design methods and the use of molecular dynamics simulations to better predict the catalytic activity of designed variants, will further enhance the use of computational tools in enzyme engineering.
    Protein design
    Protein Engineering
    Sequence space
    Directed Molecular Evolution
    Computational model
    Toolbox
    Citations (63)
    Protein Engineering
    Protein design
    Directed Molecular Evolution
    Molecular evolution
    Folding (DSP implementation)