Statistical Mechanics of RNA Folding

描述（由申请人提供）：RNA 三级折叠的精确模型的可用性可以极大地帮助我们理解 RNA 功能和 RNA 靶向药物的发现。 然而，与几十年来广泛研究的蛋白质折叠问题不同，RNA 三级折叠的建模是一个相对较新的领域。 我们当前的图论热力学模型使我们能够比其他现有模型对 RNA 二级结构熔解曲线做出更好的预测。 在这个提案中，我们的目标是超越二级结构模型来研究三级 RNA 折叠。我们方法的一个关键优势是构象采样的完整性和确定性。不完整的构象采样可能会导致不可接受的准确性损失。 我们的热力学和动力学模型将在该项目中并行开发。用户可以在热力学模型中提供能量参数，这将使我们能够从实验熔解曲线中提取 RNA 三级相互作用的参数。 自从首次提交该提案以来，我们产生了新的结果，表明我们可以准确地捕获三级折叠和离格构象，以提供可靠的配分函数。动力学模型将使用主方程方法开发，我们已成功使用该方法来处理 RNA 发夹折叠动力学。 我们的长期目标是超越发夹结构来治疗大型复杂 RNA。 我们的近期目标是消除实现长期目标道路上的两个关键“障碍”：从速率方程中搜索过渡态，并通过构象聚类来简化速率方程。 实验测试将集中在一系列合理设计的RNA系统上。 关键的一点是，实验将在与理论预测完全相同的盐条件下进行。

DESCRIPTION (provided by applicant): The availability of an accurate model for RNA tertiary folding can greatly aid in our understanding of RNA functions and in RNA-targeted drug discovery. However, unlike the protein folding problem which has been extensively studied for decades, modeling of tertiary RNA folding is a relatively new field of endeavor. Our current graph-theoretic thermodynamic model has allowed us to make better predictions than other existing models on RNA secondary structure melting curves. In this proposal, we aim to move beyond the secondary structure model to study tertiary RNA folding. A key advantage of our approach is the completeness and certainty in our conformational sampling. Incomplete conformational sampling may result in unacceptable loss of accuracy. Our thermodynamic and kinetic models will be developed in parallel in this project. The thermodynamic model, in which user can supply energy parameters, will enable us to extract parameters for RNA tertiary interactions from experimental melting curves. Since the first submission of this proposal, we have generated new results indicating that we can accurately capture tertiary folds and off-lattice conformations to give reliable partition functions. The kinetic model will be developed using a master equation approach, which we have successfully used to treat RNA hairpin folding kinetics. Our long-term goal is to move beyond hairpin to treat large complex RNAs. Our immediate goal is to remove two key "roadblocks" on the road toward our long-term goal: to search for transition states from rate equations, and to reduce the rate equations by conformational clustering. Experimental tests will focus on a series of rationally designed RNA systems. A key point is that the experiments will be performed under exactly the same salt condition used in theoretical predictions.