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首页> 外文期刊>Protein Science: A Publication of the Protein Society >De novo structure generation using chemical shifts for proteins with high-sequence identity but different folds.
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De novo structure generation using chemical shifts for proteins with high-sequence identity but different folds.

机译:从头开始使用化学位移生成具有高序列同一性但折叠不同的蛋白质的结构。

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摘要

Proteins with high-sequence identity but very different folds present a special challenge to sequence-based protein structure prediction methods. In particular, a 56-residue three-helical bundle protein (GA(95)) and an alpha/beta-fold protein (GB(95)), which share 95% sequence identity, were targets in the CASP-8 structure prediction contest. With only 12 out of 300 submitted server-CASP8 models for GA(95) exhibiting the correct fold, this protein proved particularly challenging despite its small size. Here, we demonstrate that the information contained in NMR chemical shifts can readily be exploited by the CS-Rosetta structure prediction program and yields adequate convergence, even when input chemical shifts are limited to just amide (1)H(N) and (15)N or (1)H(N) and (1)H(alpha) values.
机译:具有高序列同一性但折叠倍数非常不同的蛋白质对基于序列的蛋白质结构预测方法提出了特殊的挑战。特别是,具有95%序列同一性的56个残基的三螺旋束蛋白(GA(95))和一个alpha / beta折叠蛋白(GB(95))是CASP-8结构预测竞赛的目标。在300份针对GA(95)提交的Server-CASP8模型中,只有12份显示正确的折叠倍数,尽管该蛋白体积很小,但事实证明它特别具有挑战性。在这里,我们证明了NMR化学位移中包含的信息可以很容易地被CS-Rosetta结构预测程序利用,并且即使输入的化学位移仅限于酰胺(1)H(N)和(15),也可以产生足够的收敛性。 N或(1)H(N)和(1)Hα值。

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