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The Amino Acid Alphabet and the Architecture of the Protein Sequence-Structure Map. I. Binary Alphabets

机译:氨基酸字母和蛋白质序列结构图的结构。 I.二进制字母

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The correspondence between protein sequences and structures, or sequence-structure map, relates to fundamental aspects of structural, evolutionary and synthetic biology. The specifics of the mapping, such as the fraction of accessible sequences and structures, or the sequences' ability to fold fast, are dictated by the type of interactions between the monomers that compose the sequences. The set of possible interactions between monomers is encapsulated by the potential energy function. In this study, I explore the impact of the relative forces of the potential on the architecture of the sequence-structure map. My observations rely on simple exact models of proteins and random samples of the space of potential energy functions of binary alphabets. I adopt a graph perspective and study the distribution of viable sequences and the structures they produce, as networks of sequences connected by point mutations. I observe that the relative proportion of attractive, neutral and repulsive forces defines types of potentials, that induce sequence-structure maps of vastly different architectures. I characterize the properties underlying these differences and relate them to the structure of the potential. Among these properties are the expected number and relative distribution of sequences associated to specific structures and the diversity of structures as a function of sequence divergence. I study the types of binary potentials observed in natural amino acids and show that there is a strong bias towards only some types of potentials, a bias that seems to characterize the folding code of natural proteins. I discuss implications of these observations for the architecture of the sequence-structure map of natural proteins, the construction of random libraries of peptides, and the early evolution of the natural amino acid alphabet.
机译:蛋白质序列与结构或序列结构图之间的对应关系涉及结构生物学,进化生物学和合成生物学的基本方面。映射的细节,例如可访问序列和结构的分数,或序列快速折叠的能力,由组成序列的单体之间的相互作用类型决定。单体之间的可能相互作用的集合被势能函数封装。在这项研究中,我探索了势能的相对力对序列结构图结构的影响。我的观察结果依赖于蛋白质的简单精确模型以及二进制字母的势能函数空间的随机样本。我采用图的观点,研究了可行序列的分布及其产生的结构,这些序列是通过点突变连接的序列网络。我观察到,吸引力,中性和排斥力的相对比例定义了电势的类型,这些电势导致了千差万别的体系结构的序列结构图。我描述了这些差异背后的特性,并将它们与电位的结构相关联。在这些特性中,是与特定结构相关的序列的预期数量和相对分布,以及作为序列差异的函数的结构多样性。我研究了在天然氨基酸中观察到的二元电位的类型,并表明仅对某些类型的电位存在强烈偏见,这种偏颇似乎是天然蛋白质折叠密码的特征。我讨论了这些观察结果对天然蛋白的序列结构图的结构,肽的随机文库的构建以及天然氨基酸字母的早期进化的影响。

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