University of Science and Technology of China, Hefei, China.
Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China.
Proteins. 2023 Dec;91(12):1771-1778. doi: 10.1002/prot.26574. Epub 2023 Aug 28.
We describe the modeling method for RNA tertiary structures employed by team AIchemy_RNA2 in the 15th Critical Assessment of Structure Prediction (CASP15). The method consists of the following steps. Firstly, secondary structure information was derived from various manually-verified sources. With this information, the full length RNA was fragmented into structural modules. The structures of each module were predicted and then assembled into the full structure. To reduce the searching conformational space, an RNA structure was organized into an optimal base folding tree. And to further improve the sampling efficiency, the energy surface was smoothed at high temperatures during the Monte Carlo sampling to make it easier to move across the energy barrier. The statistical potential energy function BRiQ was employed during Monte Carlo energy optimization.
我们描述了团队 AIchemy_RNA2 在第 15 届结构预测关键评估(CASP15)中使用的 RNA 三级结构建模方法。该方法包括以下步骤。首先,从各种经过人工验证的来源中获取二级结构信息。有了这些信息,全长 RNA 被分成结构模块。预测每个模块的结构,然后将它们组装成完整的结构。为了缩小搜索构象空间,将 RNA 结构组织成最佳碱基折叠树。为了进一步提高采样效率,在 Monte Carlo 采样过程中,在高温下对能量表面进行平滑处理,使其更容易跨越能量障碍。在 Monte Carlo 能量优化过程中,使用了统计势能函数 BRiQ。