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从头设计蛋白质三维结构的从头预测:一项双盲案例研究。

Ab initio prediction of the three-dimensional structure of a de novo designed protein: a double-blind case study.

作者信息

Klepeis John L, Wei Yinan, Hecht Michael H, Floudas Christodoulos A

机构信息

Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544-5263, USA.

出版信息

Proteins. 2005 Feb 15;58(3):560-70. doi: 10.1002/prot.20338.

Abstract

Ab initio structure prediction and de novo protein design are two problems at the forefront of research in the fields of structural biology and chemistry. The goal of ab initio structure prediction of proteins is to correctly characterize the 3D structure of a protein using only the amino acid sequence as input. De novo protein design involves the production of novel protein sequences that adopt a desired fold. In this work, the results of a double-blind study are presented in which a new ab initio method was successfully used to predict the 3D structure of a protein designed through an experimental approach using binary patterned combinatorial libraries of de novo sequences. The predicted structure, which was produced before the experimental structure was known and without consideration of the design goals, and the final NMR analysis both characterize this protein as a 4-helix bundle. The similarity of these structures is evidenced by both small RMSD values between the coordinates of the two structures and a detailed analysis of the helical packing.

摘要

从头算结构预测和从头蛋白质设计是结构生物学和化学领域研究前沿的两个问题。蛋白质从头算结构预测的目标是仅使用氨基酸序列作为输入来正确表征蛋白质的三维结构。从头蛋白质设计涉及产生具有所需折叠的新型蛋白质序列。在这项工作中,展示了一项双盲研究的结果,其中一种新的从头算方法成功用于预测通过使用从头序列的二元模式组合文库的实验方法设计的蛋白质的三维结构。预测结构是在实验结构已知之前产生的,且未考虑设计目标,最终的核磁共振分析均将该蛋白质表征为四螺旋束。两种结构坐标之间的小均方根偏差值以及对螺旋堆积的详细分析都证明了这些结构的相似性。

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