Biesiada Marcin, Pachulska-Wieczorek Katarzyna, Adamiak Ryszard W, Purzycka Katarzyna J
Department of Structural Chemistry and Biology of Nucleic Acids, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; Institute of Computing Science, Poznan University of Technology, Poznan, Poland.
Department of Structural Chemistry and Biology of Nucleic Acids, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Methods. 2016 Jul 1;103:120-7. doi: 10.1016/j.ymeth.2016.03.010. Epub 2016 Mar 24.
RNAs adopt specific, stable tertiary architectures to perform their activities. Knowledge of RNA tertiary structure is fundamental to understand RNA functions beginning with transcription and ending with turnover. Contrary to advanced RNA secondary structure prediction algorithms, which allow good accuracy when experimental data are integrated into the prediction, tertiary structure prediction of large RNAs still remains a significant challenge. However, the field of RNA tertiary structure prediction is rapidly developing and new computational methods based on different strategies are emerging. RNAComposer is a user-friendly and freely available server for 3D structure prediction of RNA up to 500 nucleotide residues. RNAComposer employs fully automated fragment assembly based on RNA secondary structure specified by the user. Importantly, this method allows incorporation of distance restraints derived from the experimental data to strengthen the 3D predictions. The potential and limitations of RNAComposer are discussed and an application to RNA design for nanotechnology is presented.
RNA会采用特定的、稳定的三级结构来执行其功能。从转录开始到周转结束,了解RNA三级结构是理解RNA功能的基础。与先进的RNA二级结构预测算法不同,当将实验数据整合到预测中时,这些算法能实现较高的准确性,而大型RNA的三级结构预测仍然是一项重大挑战。然而,RNA三级结构预测领域正在迅速发展,基于不同策略的新计算方法不断涌现。RNAComposer是一个用户友好且免费的服务器,可用于预测长度达500个核苷酸残基的RNA的三维结构。RNAComposer基于用户指定的RNA二级结构采用全自动片段组装。重要的是,该方法允许纳入源自实验数据的距离限制,以加强三维预测。本文讨论了RNAComposer的潜力和局限性,并展示了其在纳米技术RNA设计中的应用。