Institute of Bioorganic Chemistry Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland.
Institute of Bioorganic Chemistry Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland.
J Mol Biol. 2022 Sep 30;434(18):167632. doi: 10.1016/j.jmb.2022.167632. Epub 2022 May 16.
RNA folding free energy change parameters are widely used to predict RNA secondary structure and to design RNA sequences. These parameters include terms for the folding free energies of helices and loops. Although the full set of parameters has only been traditionally available for the four common bases and backbone, it is well known that covalent modifications of nucleotides are widespread in natural RNAs. Covalent modifications are also widely used in engineered sequences. We recently derived a full set of nearest neighbor terms for RNA that includes N-methyladenosine (mA). In this work, we test the model using 98 optical melting experiments, matching duplexes with or without N-methylation of A. Most experiments place RRACH, the consensus site of N-methylation, in a variety of contexts, including helices, bulge loops, internal loops, dangling ends, and terminal mismatches. For matched sets of experiments that include either A or mA in the same context, we find that the parameters for mA are as accurate as those for A. Across all experiments, the root mean squared deviation between estimated and experimental free energy changes is 0.67 kcal/mol. We used the new experimental data to refine the set of nearest neighbor parameter terms for mA. These parameters enable prediction of RNA secondary structures including mA, which can be used to model how N-methylation of A affects RNA structure.
RNA 折叠自由能变化参数被广泛用于预测 RNA 二级结构和设计 RNA 序列。这些参数包括螺旋和环的折叠自由能项。尽管传统上只有四种常见碱基和骨架的完整参数集可用,但众所周知,核苷酸的共价修饰在天然 RNA 中广泛存在。共价修饰也广泛用于工程序列。我们最近推导出了一个包含 N6-甲基腺苷(m6A)的完整 RNA 近邻参数集。在这项工作中,我们使用 98 个光学融解实验来测试该模型,这些实验匹配了带有或不带有 A 甲基化的双链体。大多数实验将 RRACH,即 N6-甲基化的共识位点,置于各种环境中,包括螺旋、凸起环、内部环、悬垂末端和末端错配。对于包含相同环境中 A 或 m6A 的实验匹配集,我们发现 m6A 的参数与 A 的参数一样准确。在所有实验中,估计和实验自由能变化之间的均方根偏差为 0.67 kcal/mol。我们使用新的实验数据来改进 m6A 的近邻参数集。这些参数可以预测包括 m6A 在内的 RNA 二级结构,可用于模拟 A 的甲基化如何影响 RNA 结构。