在预测和设计非规范 RNA 结构方面达到原子精度。
Atomic accuracy in predicting and designing noncanonical RNA structure.
机构信息
Departments of Biochemistry and Physics, Stanford University, Stanford, California, USA.
出版信息
Nat Methods. 2010 Apr;7(4):291-4. doi: 10.1038/nmeth.1433. Epub 2010 Feb 28.
We present fragment assembly of RNA with full-atom refinement (FARFAR), a Rosetta framework for predicting and designing noncanonical motifs that define RNA tertiary structure. In a test set of thirty-two 6-20-nucleotide motifs, FARFAR recapitulated 50% of the experimental structures at near-atomic accuracy. Sequence redesign calculations recovered native bases at 65% of residues engaged in noncanonical interactions, and we experimentally validated mutations predicted to stabilize a signal recognition particle domain.
我们提出了 RNA 片段组装的全原子精修（FARFAR），这是一个用于预测和设计定义 RNA 三级结构的非canonical 模体的 Rosetta 框架。在一个包含 32 个 6-20 核苷酸模体的测试集中，FARFAR 以近乎原子精度再现了 50%的实验结构。序列重新设计计算在 65%参与非canonical 相互作用的残基中恢复了天然碱基，并且我们通过实验验证了预测稳定信号识别颗粒结构域的突变。
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