Poole Leslie B, Nelson Kimberly J
Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA ; Department of Chemistry, Wake Forest University, Winston-Salem, NC 27109, USA.
Mol Cells. 2016 Jan;39(1):53-9. doi: 10.14348/molcells.2016.2330. Epub 2016 Jan 25.
Peroxiredoxins are cysteine-dependent peroxide reductases that group into 6 different, structurally discernable classes. In 2011, our research team reported the application of a bioinformatic approach called active site profiling to extract active site-proximal sequence segments from the 29 distinct, structurally-characterized peroxiredoxins available at the time. These extracted sequences were then used to create unique profiles for the six groups which were subsequently used to search GenBank(nr), allowing identification of ∼3500 peroxiredoxin sequences and their respective subgroups. Summarized in this minireview are the features and phylogenetic distributions of each of these peroxiredoxin subgroups; an example is also provided illustrating the use of the web accessible, searchable database known as PREX to identify subfamily-specific peroxiredoxin sequences for the organism Vitis vinifera (grape).
过氧化物酶是一类依赖半胱氨酸的过氧化物还原酶,可分为6种不同的、结构上可识别的类别。2011年,我们的研究团队报告了一种名为活性位点分析的生物信息学方法的应用,该方法用于从当时可用的29种不同的、具有结构特征的过氧化物酶中提取活性位点近端序列片段。然后,这些提取的序列被用于为这六个组创建独特的图谱,随后用于搜索GenBank(nr),从而识别出约3500个过氧化物酶序列及其各自的亚组。本综述总结了这些过氧化物酶亚组各自的特征和系统发育分布;还提供了一个示例,说明如何使用名为PREX的可通过网络访问的可搜索数据库来识别葡萄(Vitis vinifera)中特定亚家族的过氧化物酶序列。