蛋白质折叠的综合折叠变化

Jiaan Yang, Wenxiang Cheng, Xiaoyan Zhao, Gang Wu, Shi Tong Sheng, Qiyue Hu, Hu Ge, Qianshan Qin, Xinshen Jin, Lianshan Zhang, Peng Zhang
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引用次数: 3

摘要

蛋白质折叠的揭示在发现和描述上都是一个具有挑战性的课题。除了在蛋白质稳定状态下获得精确的三维结构外,如何发现蛋白质固有特性的结构灵活性也是一个很大的障碍。即使已知大量的柔性构象,困难在于如何表示这些构象。蛋白质结构指纹图谱是一种新的方法,可以揭示蛋白质的局部折叠变化,从而构建整个蛋白质的折叠构象。首先确定了5个氨基酸残基的主链为一个通用折叠,然后推导出一套完全覆盖折叠空间的蛋白质折叠形状代码(PFSC)。随后,建立了一个数据库,收集了五种氨基酸所有排列的局部折叠变异的所有可能的折叠形状。蛋白质折叠变异矩阵(Protein Folding Variation Matrix, PFVM)依次组装了蛋白质沿序列的所有可能的局部折叠变异,具有几个突出的特征。首先,它显示了一定的折叠模式沿序列的波动,揭示了蛋白质折叠与氨基酸序列顺序的关系。其次,在PFVM中,整个蛋白质的所有折叠变化都可以同时一目了然。第三,所有的构象都可以通过PFVM的局部折叠变化来确定,因此对于任何蛋白质来说,构象的总数不再是模糊的。最后,利用PFVM获得最可能的折叠构象及其三维结构,用于蛋白质结构预测。因此,蛋白质结构指纹图谱方法为研究蛋白质折叠问题提供了重要的手段。
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Comprehensive folding variations for protein folding
The revelation of protein folding is a challenging subject in both discovery and description. Except for acquirement of accurate 3D structure in protein stable state, another big hurdle is how to discover structural flexibility for protein innate character. Even if a huge number of flexible conformations are known, difficulty is how to represent these conformations. A novel approach, protein structure fingerprint, has been developed to expose the comprehensive local folding variations, and then construct folding conformations for entire protein. The backbone of five amino acid residues was identified as a universal folden, and then a set of Protein Folding Shape Code (PFSC) was derived for completely covering folding space in alphabetic description. Sequentially, a database was created to collect all possible folding shapes of local folding variations for all permutation of five amino acids. Successively, Protein Folding Variation Matrix (PFVM) assembled all possible local folding variations along sequence for a protein, which possesses several prominent features. First, it showed the fluctuation with certain folding patterns along sequence which revealed how the protein folding was related the order of amino acids in sequence. Second, all folding variations for an entire protein can be simultaneously apprehended at a glance within PFVM. Third, all conformations can be determined by local folding variations from PFVM, so total number of conformations is no longer ambiguous for any protein. Finally, the most possible folding conformation and its 3D structure can be acquired according PFVM for protein structure prediction. Therefore, the protein structure fingerprint approach provides a significant means for investigation of protein folding problem.
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