Statistical mechanics of RNA folding

描述（申请人提供）：目前的结构测定实验跟不上不断涌现的RNA序列和新功能的步伐。这强调了对RNA三级折叠精确的自由能模型的迫切需求，由此可以预测序列的结构。此外，越来越多的人支持这样一种观点，即大结构RNA在执行其生物学功能的过程中可能采用多种构象状态，而不仅仅是一种，这在RNA病毒的复制和细菌中核糖体开关介导的基因表达调节的核心原则中尤其如此。尽管在机制研究方面取得了相当大的进展，但从序列中准确预测RNA三级折叠仍然是一个未解决的问题。从RNA结构波动到大构象变化，理解和预测RNA折叠的第一个也是最重要的要求是一个准确的自由能模型。这项拨款的支持使我们能够开发一种新的基于虚拟键的RNA自由能模型，该模型比其他现有的简单三级结构（假结）模型能够更好地预测。我们现在建议超越简单的假结，研究全原子、更大、更复杂的RNA三级折叠。我们的方法将基于严格的第一性原理分析计算。该方法的一个关键优点是构象采样（熵）的完备性和确定性。不正确的熵导致糟糕的预测。使用实验数据的初步测试表明，与现有的折叠算法相比，我们的方法在准确性和特异性方面都有显着改进。这一成功证明了这项赠款中提出的新方法的巨大希望。我们的具体目标是：(a)建立三级折叠自由能的系统模型。(b)为复杂、较大的第三纪褶皱发展一种新方法。(c)建立三维全原子模型。(d)利用实验结构数据对模型进行系统测试和改进。

DESCRIPTION (provided by applicant): The current experiments on structural determination cannot keep up the pace with the steadily emerging RNA sequences and new functions. This underscores the urgent request for an accurate free energy model for RNA tertiary folds, from which one can predict structures from sequences. Furthermore, there is increasing support for the idea that large structured RNAs may adopt a variety of conformational states, rather than just one, during the course of performing its biological function, this is particularly so in the replication of RNA viruses and a central tenet of riboswitch-mediated regulation of gene expression in bacteria. Although considerable progress has been made in mechanistic studies, accurate prediction for RNA tertiary folding from sequence remains an unsolved problem. The first and most important requirement for understanding and predicting of RNA folding from RNA structural fluctuations to large conformational changes is an accurate free energy model. Support from this grant has allowed us to develop a novel virtual bond-based RNA free energy model that enables much better predictions than other existing models for simple tertiary structures (pseudoknots). We now propose to go beyond the simple pseudoknots by studying all-atom, larger, more complex RNA tertiary folds. Our approach will be based on rigorous, first principles analytical calculations. A key advantage of the approach is the completeness and certainty in conformational sampling (entropy). Incorrect entropy results in poor predictions. Preliminary tests using experimental data have shown significant improvements from our approach in both accuracy and specificity than existing folding algorithms. The success attests the high promise of the new approach proposed in this grant. Our specific aims are: (a) Systematic model development for tertiary folding free energies. (b) Developing a novel approach for complex, larger tertiary folds. (c) Developing a 3D all-atom model. (d) Systematic test and refinement of the model using experimental structural data. PUBLIC HEALTH RELEVANCE: This project will develop a model for accurate predictions of all-atom structures and free energy landscapes for RNA tertiary folds. This predictive model will contribute to the quantitative understanding of RNA mechanisms in cellular functions as well as the rational design of RNA-based therapeutics.