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Protein WISDOM: A Workbench for <em>In silico</em> <em>De novo</em> Design of BioMolecules

蛋白质设计 计算生物学 生物信息学 序列空间 蛋白质工程 序列(生物学) 计算机科学 蛋白质测序 生物 蛋白质结构 肽序列 遗传学 数学 生物化学 基因 巴拿赫空间 纯数学
作者
James B. Smadbeck,Meghan B. Peterson,George Khoury,Martin S. Taylor,Christodoulos A. Floudas
出处
期刊:Journal of Visualized Experiments [MyJOVE]
卷期号: (77) 被引量:15
标识
DOI:10.3791/50476
摘要

The aim of de novo protein design is to find the amino acid sequences that will fold into a desired 3-dimensional structure with improvements in specific properties, such as binding affinity, agonist or antagonist behavior, or stability, relative to the native sequence. Protein design lies at the center of current advances drug design and discovery. Not only does protein design provide predictions for potentially useful drug targets, but it also enhances our understanding of the protein folding process and protein-protein interactions. Experimental methods such as directed evolution have shown success in protein design. However, such methods are restricted by the limited sequence space that can be searched tractably. In contrast, computational design strategies allow for the screening of a much larger set of sequences covering a wide variety of properties and functionality. We have developed a range of computational de novo protein design methods capable of tackling several important areas of protein design. These include the design of monomeric proteins for increased stability and complexes for increased binding affinity. To disseminate these methods for broader use we present Protein WISDOM (http://www.proteinwisdom.org), a tool that provides automated methods for a variety of protein design problems. Structural templates are submitted to initialize the design process. The first stage of design is an optimization sequence selection stage that aims at improving stability through minimization of potential energy in the sequence space. Selected sequences are then run through a fold specificity stage and a binding affinity stage. A rank-ordered list of the sequences for each step of the process, along with relevant designed structures, provides the user with a comprehensive quantitative assessment of the design. Here we provide the details of each design method, as well as several notable experimental successes attained through the use of the methods.
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