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Protein backbone ensemble generation explores the local structural space of unseen natural homologs

机译:蛋白质骨架集成产生探索未知天然同源物的局部结构空间

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摘要

>Motivation: Mutations in homologous proteins affect changes in the backbone conformation that involve a complex interplay of forces which are difficult to predict. Protein design algorithms need to anticipate these backbone changes in order to accurately calculate the energy of the structure given an amino acid sequence, without knowledge of the final, designed sequence. This is related to the problem of predicting small changes in the backbone between highly similar sequences.>Results: We explored the ability of the Rosetta suite of protein design tools to move the backbone from its position in one structure (template) to its position in a close homologous structure (target) as a function of the diversity of a backbone ensemble constructed using the template structure, the percent sequence identity between the template and target, and the size of local zone being considered in the ensemble. We describe a pareto front in the likelihood of moving the backbone toward the target as a function of ensemble diversity and zone size. The equations and protocols presented here will be useful for protein design.>Availability and implementation: PyRosetta scripts available at >Contact:
机译:>动机:同源蛋白质中的突变会影响骨架构象的变化,其中涉及难以预测的复杂相互作用力。蛋白质设计算法需要预测这些骨架的变化,以便在不了解最终设计序列的情况下准确计算给定氨基酸序列的结构能量。这与预测高度相似序列之间主链的微小变化有关。>结果:我们探索了Rosetta蛋白设计工具套件将主链从其在一个结构中的位置移动的能力(模板)与其在紧密同源结构(靶标)中的位置有关,这取决于使用模板结构构建的骨架集合体的多样性,模板与靶标之间的序列同一性百分比以及在集合体中考虑的局部区域的大小。我们在将骨干朝目标移动的可能性方面描述了一个pareto阵线,该可能性是整体多样性和区域大小的函数。 >可用性和实现:PyRosetta脚本可从>联系人:获得。

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