University of Liverpool, Institute of Integrative Biology, United Kingdom.
OMICS. 2011 Jul-Aug;15(7-8):431-8. doi: 10.1089/omi.2010.0122. Epub 2011 Feb 24.
Expansions of sequence databases driven by new sequencing technology continue apace. These result in a continuous supply of protein sequences and domains that cannot be straightforwardly annotated by simple homology methods. For these, structure-based function prediction may contribute to an improved annotation. Here, short Domains of Unknown Function (DUFs) are ab initio modeled with ROSETTA and screened for likely nucleic acid binding function. Thirty-two DUFs are thereby predicted to have a nucleic acid binding function. In most cases, additional evidence supporting that function could be obtained from structure comparison, domain architectures, distant evolutionary relationships, genome context or protein-protein interaction data. These predictions contribute to the function annotation of thousands of proteins.
随着新测序技术的发展，序列数据库不断扩展。这导致源源不断的蛋白质序列和结构域出现，这些序列和结构域不能通过简单的同源性方法进行直接注释。对于这些序列和结构域，基于结构的功能预测可能有助于提高注释的准确性。在这里，我们使用 ROSETTA 对未知功能的短结构域（DUFs）进行从头建模，并筛选可能具有核酸结合功能的结构域。结果预测出 32 个 DUFs 具有核酸结合功能。在大多数情况下，可以从结构比较、结构域架构、遥远的进化关系、基因组背景或蛋白质-蛋白质相互作用数据中获得支持该功能的额外证据。这些预测有助于对数千种蛋白质的功能进行注释。
