Transition Structures and the Evolution of Protein Folds

蛋白质结构聚集成作为进化模板的折叠家族，其中骨架结构被回收以产生具有不同功能的蛋白质。蛋白质进化的理论模型提出在序列空间中存在一个“中性网络”，它将编码相同折叠的不同序列相互连接。在这样的网络中，点突变或小的插入/缺失变化的连续路径连接所有组件序列。这些网络可以相当大，因为许多不同的序列可以编码相同的折叠。蛋白质进化中的一个基本问题是不同中性网络之间的交换如何以及多久发生一次，从而导致从一个折叠进化到另一个折叠。在进化过程中，少量突变诱导新的表型性状必须与突变可能导致的对生命功能的有害影响相平衡。有证据表明，分子进化可能是由生物分子的能力来引导的，生物分子具有多种构象，作为不同折叠之间的桥梁。在这种情况下，进化中的蛋白质最初可以在不失去其原始功能的情况下获得对新功能的适应性增加。桥态允许蛋白质探索新的结构和功能，而部分结构系综保留初始构象和功能作为保险。特别感兴趣的是罕见的桥或过渡序列，以不同的概率折叠成不同的非重叠结构。蛋白质的稳定性通常被认为是一个独特的天然状态和未折叠的合奏之间的两个状态的过渡。然而，设计和诱变实验表明，在自由能的替代折叠的差异可能比通常设想的要小得多，导致进化速率是敏感的替代构象之间的自由能差异。这项研究的重点是蛋白质折叠如何随时间变化，替代折叠的存在如何影响蛋白质进化的速率，以及新的蛋白质功能如何从现有的蛋白质进化而来。重点是表征的构象空间，进化途径，连接，和选择蛋白质序列的性质，原则上，可以稳定地采用两个不同的倍，或存在于一个倍，但1至3个突变远离不同的倍。将考虑显示非常高的序列同一性但显示不同折叠和功能的特定蛋白质系统，例如基于P22 Arc阻遏物同源二聚体中极性与非极性氨基酸模式的交替折叠;以及基于链球菌细菌细胞壁蛋白G的GA和GB结构域的工程化蛋白质。这些蛋白质系统的原子分子动力学技术的研究将补充不同的蛋白质家族的分子进化分析，特别是那些三级结构的进化影响以前已经调查，而不考虑替代蛋白质折叠进化速率的潜在作用。一种新的进化推理程序，可以定量评估替代折叠的进化影响，将有助于这些调查。最有趣的推定的祖先蛋白质的推理过程中确定的，然后将进行更详细的研究与原子建模技术，将检查所有相关的结构特征。该项目将促进分子模拟和进化研究社区之间的互动，这在传统上在很大程度上是相互隔离的。这主要是一个学生/博士后为基础的研究项目，这将促进北卡罗来纳州生物信息学和物理学之间的教育联系。更大的计算生物分子社区将受益于AMBER软件包的免费软件的持续开发，以及新的进化推理软件的开发。此外，PI将开发新的研究生课程，促进少数民族学生的保留和招聘，在NC State开发生物物理学选项，为学生提供国际研究经验（主要通过在日本的合作），并为学生和研究合作伙伴提供全面和丰富的环境。

Protein structures cluster into families of folds that act as evolutionary templates, where the backbone structures are recycled to create proteins with different functions. Theoretical models of protein evolution propose the existence of a "neutral network" in sequence space that interconnects the different sequences encoding the same fold. In such networks, continuous paths of point mutations or small insertion/deletion changes connect all component sequences. These networks can be quite large, since many different sequences can encode the same fold. A fundamental question in protein evolution is how and how often exchanges between different neutral networks occur, leading to evolution from one fold to another. During evolution, the induction of new phenotypic traits by a small number of mutations has to be balanced against the deleterious effects on vital functions that mutations can cause. There is evidence that molecular evolution may be steered by the ability of biomolecules to take on numerous conformations as a bridge between different folds. Under this scenario, an evolving protein can initially attain increased fitness for a new function without losing its original function. Bridge states allow proteins to explore new structures and functions while part of the structural ensemble retains the initial conformation and function as insurance. Of particular interest are rare bridge or transition sequences that fold with different probabilities into distinct non-overlapping structures. Protein stability is generally viewed in terms of a two-state transition between a unique native state and an ensemble of unfolded ones. However, design and mutagenesis experiments suggest that the difference in free energy of alternative folds may be much smaller than typically envisioned, leading to evolutionary rates that are sensitive to the free energy differences between alternative conformations. This research centers on how protein folds change over time, on how the existence of alternative folds affects the rates of protein evolution, and on how new protein functionality can evolve from an already existing protein. Emphasis is given to the characterization of the conformational space, evolutionary pathways, connections, and properties of select protein sequences that, in principle, can stably adopt two different folds, or exist in one fold but are 1 to 3 mutations away from a different fold. Specific protein systems that show a very high sequence identity but display different folds and functions will be considered, such as alternate folds based on the patterning of polar versus non-polar amino acids in the P22 Arc repressor homodimer; and engineered proteins based on the GA and GB domains of the cell wall Protein G of Streptococcus bacteria. The study of these protein systems by atomistic molecular dynamic techniques will be complemented by molecular evolution analyses of diverse protein families, especially those for which the evolutionary impact of tertiary structure has previously been investigated without regard to the potential role of alternative protein folds on evolutionary rates. A novel evolutionary inference procedure that can quantitatively assesses the evolutionary influence of alternative folds will facilitate these investigations. The most interesting of putative ancestral proteins that are identified by the inference procedure will then be studied in more detail with atomistic modeling techniques that will examine all relevant structural characteristics. This project will foster interaction between the molecular simulation and evolution research communities, which have traditionally been largely isolated from each other. This is primarily a student/postdoc based research project, which will foster educational ties between NC State Bioinformatics and Physics. The larger computational biomolecular community will benefit through the continued development of freely available software for the AMBER package, as well as through the development of new evolutionary inference software. In addition, The PI will develop new graduate courses, foster the retention and recruitment of minority students, develop the Biophysics option at NC State, provide international research experience to students (mainly via a collaboration in Japan), and provide for a well-rounded and rich environment for students and research partners at all educational levels.