首页> 美国卫生研究院文献>Biophysical Reviews >Creation of artificial protein–protein interactions using α-helices as interfaces
【2h】

Creation of artificial protein–protein interactions using α-helices as interfaces

机译:使用α-螺旋作为界面创建人工蛋白质-蛋白质相互作用

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Designing novel protein–protein interactions (PPIs) with high affinity is a challenging task. Directed evolution, a combination of randomization of the gene for the protein of interest and selection using a display technique, is one of the most powerful tools for producing a protein binder. However, the selected proteins often bind to the target protein at an undesired surface. More problematically, some selected proteins bind to their targets even though they are unfolded. Current state-of-the-art computational design methods have successfully created novel protein binders. These computational methods have optimized the non-covalent interactions at interfaces and thus produced artificial protein complexes. However, to date there are only a limited number of successful examples of computationally designed de novo PPIs. De novo design of coiled-coil proteins has been extensively performed and, therefore, a large amount of knowledge of the sequence–structure relationship of coiled-coil proteins has been accumulated. Taking advantage of this knowledge, de novo design of inter-helical interactions has been used to produce artificial PPIs. Here, we review recent progress in the in silico design and rational design of de novo PPIs and the use of α-helices as interfaces.
机译:设计具有高亲和力的新型蛋白质间相互作用(PPI)是一项艰巨的任务。定向进化是将目的蛋白质的基因随机化和使用展示技术进行选择的结合,是产生蛋白质结合剂的最强大工具之一。然而,选择的蛋白质经常在不期望的表面上结合靶蛋白质。更成问题的是,即使某些选定的蛋白质被展开,它们仍会与其靶标结合。当前最先进的计算设计方法已成功创建了新型蛋白质结合剂。这些计算方法优化了界面上的非共价相互作用,从而产生了人工蛋白质复合物。但是,到目前为止,只有有限数量的成功设计的从头设计PPI的成功示例。卷曲螺旋蛋白的从头设计已经广泛进行,因此,积累了关于卷曲螺旋蛋白的序列-结构关系的大量知识。利用这一知识,已经使用了螺旋间相互作用的从头设计来产生人工PPI。在这里,我们回顾了从头设计PPI的计算机设计和合理设计以及使用α螺旋作为界面的最新进展。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号