Schroeder Susan J
Department of Chemistry and Biochemistry and Department of Microbiology and Plant Biology, University of Oklahoma , Norman, Oklahoma 73019, United States.
Biochemistry. 2014 Nov 4;53(43):6728-37. doi: 10.1021/bi501051k. Epub 2014 Oct 24.
Viral RNA structure prediction is a valuable tool for development of drugs against viral disease. This work discusses different approaches to predicting encapsidated viral RNA and highlights satellite tobacco mosaic virus (STMV) RNA as a model system with excellent crystallography data. Fundamentally important issues for debate include thermodynamic versus kinetic control of virus assembly and the possible consequences of quasi-species in the primary structure on RNA secondary structure prediction of a single structure or an ensemble of structures. Multiple computational tools and chemical reagents are now available for improved viral RNA structure prediction. Two different predicted structures for encapsidated STMV RNA result from differences in three main areas: a different approach and philosophy to studying encapsidated viral RNA, an emphasis on different RNA motifs, and technical differences in computational methods and chemical reagents. The experiments with traditional chemical probing and SHAPE reagents are compared in terms of chemistry, results, and interpretation for STMV RNA as well as other RNA protein assemblies, such as the 5'UTR of HIV and the ribosome. This discussion of the challenges of viral RNA structure prediction will lead to new experiments and improved future predictions for viral RNA.
病毒RNA结构预测是开发抗病毒性疾病药物的一项重要工具。这项工作讨论了预测衣壳化病毒RNA的不同方法,并着重介绍了卫星烟草花叶病毒(STMV)RNA,它是一个具有出色晶体学数据的模型系统。有待辩论的根本性重要问题包括病毒组装的热力学与动力学控制,以及一级结构中的准种对单一结构或一组结构的RNA二级结构预测可能产生的影响。现在有多种计算工具和化学试剂可用于改进病毒RNA结构预测。衣壳化STMV RNA的两种不同预测结构源于三个主要方面的差异:研究衣壳化病毒RNA的方法和理念不同、对不同RNA基序的侧重点不同,以及计算方法和化学试剂方面的技术差异。就化学、结果以及对STMV RNA以及其他RNA-蛋白质组装体(如HIV的5'UTR和核糖体)的解释而言,对传统化学探测和SHAPE试剂的实验进行了比较。对病毒RNA结构预测挑战的这一讨论将带来新的实验,并改进未来对病毒RNA的预测。