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Assessing Predicted Contacts for Building Protein Three-Dimensional Models

机译:评估建立蛋白质三维模型的预测接触

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摘要

Recent successes of contact-guided protein structure prediction methods have revived interest in solving the long-standing problem of ab initio protein structure prediction. With homology modeling failing for many protein sequences that do not have templates, contact-guided structure prediction has shown promise, and consequently, contact prediction has gained a lot of interest recently. Although a few dozen contact prediction tools are already currently available as web servers and downloadables, not enough research has been done towards using existing measures like precision and recall to evaluate these contacts with the goal of building three-dimensional models. Moreover, when we do not have a native structure for a set of predicted contacts, the only analysis we can perform is a simple contact map visualization of the predicted contacts. A wider and more rigorous assessment of the predicted contacts is needed, in order to build tertiary structure models. This chapter discusses instructions and protocols for using tools and applying techniques in order to assess predicted contacts for building three-dimensional models.
机译:接触引导的蛋白质结构预测方法的最新成功引起了人们对解决从头算蛋白质结构预测这一长期存在的问题的兴趣。由于同源性建模对于许多没有模板的蛋白质序列都失败了,接触指导的结构预测已显示出希望,因此,接触预测最近引起了人们的极大兴趣。尽管目前已经有数十种联系预测工具可作为Web服务器和可下载工具使用,但是对于建立精度模型和召回率等现有措施来评估这些联系以建立三维模型为目标,还没有进行足够的研究。而且,当我们没有一组预测联系人的本机结构时,我们可以执行的唯一分析就是对预测联系人的简单联系人地图可视化。为了建立三级结构模型,需要对预测的联系方式进行更广泛,更严格的评估。本章讨论使用工具和应用技术以评估用于建立三维模型的预期联系的说明和协议。

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