Tinoco I, Bustamante C
Department of Chemistry, University of California Berkeley, Berkeley, CA 94720-1460, USA.
J Mol Biol. 1999 Oct 22;293(2):271-81. doi: 10.1006/jmbi.1999.3001.
We describe the RNA folding problem and contrast it with the much more difficult protein folding problem. RNA has four similar monomer units, whereas proteins have 20 very different residues. The folding of RNA is hierarchical in that secondary structure is much more stable than tertiary folding. In RNA the two levels of folding (secondary and tertiary) can be experimentally separated by the presence or absence of Mg2+. Secondary structure can be predicted successfully from experimental thermodynamic data on secondary structure elements: helices, loops, and bulges. Tertiary interactions can then be added without much distortion of the secondary structure. These observations suggest a folding algorithm to predict the structure of an RNA from its sequence. However, to solve the RNA folding problem one needs thermodynamic data on tertiary structure interactions, and identification and characterization of metal-ion binding sites. These data, together with force versus extension measurements on single RNA molecules, should provide the information necessary to test and refine the proposed algorithm.
我们描述了RNA折叠问题,并将其与困难得多的蛋白质折叠问题进行对比。RNA有四个相似的单体单元,而蛋白质有20种非常不同的残基。RNA的折叠是分层的,因为二级结构比三级折叠稳定得多。在RNA中,折叠的两个层次(二级和三级)可以通过有无Mg2+在实验上进行区分。二级结构可以从关于二级结构元件(螺旋、环和凸起)的实验热力学数据成功预测。然后可以在不严重扭曲二级结构的情况下添加三级相互作用。这些观察结果提示了一种从RNA序列预测其结构的折叠算法。然而,要解决RNA折叠问题,需要关于三级结构相互作用的热力学数据,以及金属离子结合位点的识别和表征。这些数据,连同对单个RNA分子的力与延伸测量,应该提供检验和完善所提出算法所需的信息。